Jobs Data Engineer

Dataforest is looking for a Data Engineer to join an interesting software development project in the field of Cybersecurity. Our client’s platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database.

You'll be a great fit if you have:

- 3+ years of hands on in data engineering;
- 3+ years of commercial experience with Python;
- Advanced experience with SQL DBs (optimisations, monitoring, etc.);
- Advanced experience with PySpark;
- Solid understanding of ETL principles (architecture/ monitoring/ alerting/search and resolve bottlenecks);
- Familiar with AWS infrastructure (boto3, S3 buckets, etc);
- Experience working with large volumes of data;
- Understanding the principles of medallion architecture.

Would be a plus:

- Cassandra/Scylla
- PostgreSQL
- Pandas
- Experience with Kafka and Redis

What you'll do:

- Maintain data processing architecture using Python and PySpark that interacts with ScyllaDB & PostgreSQL.
- Work with Databricks infrastructure to ensure reliability, scalability, and cost efficiency.
- Proactively identify bottlenecks and suggest technical improvements.

We ensure your growth with:

- Working in a fast-growing company;
- Great networking opportunities with international clients, challenging tasks;
- Personal and professional development opportunities;
- Competitive salary fixed in USD;
- Paid vacation and sick leaves;
- Flexible work schedule;
- Friendly working environment with minimal hierarchy;
- Team building activities, corporate events.

About the Client:

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role:

We are looking for a Senior Software Engineer to design, build, and own significant components of the core query engine of a large-scale distributed data platform. You will lead work across query planning, optimization, and execution — driving architectural decisions, mentoring middle engineers, and pushing the platform's performance and scalability boundaries across all major clouds.

This is a systems-level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

Responsibilities:

• Architect, design, and implement significant components of the query engine — planner, optimizer, execution operators, memory management, and data access layers.
• Write and review high-quality, performance-critical code in Java and/or C++.
• Own end-to-end delivery of features from technical design through production rollout.
• Drive performance optimization work — profiling, benchmarking, and eliminating bottlenecks in latency- and throughput-sensitive paths.
• Integrate deeply with columnar formats, open table formats, and connectivity drivers.
• Mentor middle engineers, lead code reviews, and set technical standards for the team.
• Contribute to CI/CD architecture and quality processes across Jenkins, containerization, and multi-cloud deployment (GCP, AWS, Azure via Kubernetes / Docker).
• Debug complex, cross-layer issues spanning query planning, distributed execution, memory management, and I/O.
• Partner with US-based engineering leads on design reviews, architectural decisions, and roadmap execution.

Required Qualifications:

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Java or C++, with deep understanding of OOP, systems design, memory management, and concurrency. Candidates strong in both are especially valued.
• SQL & Data: Advanced SQL skills and strong understanding of query execution internals — planning, optimization, and operator implementation.
• Data processing systems experience: Demonstrated experience building or extending data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 5+ years in backend/systems software engineering, with a track record of owning significant components.
• CI/CD & DevOps: Solid experience with Jenkins and modern engineering workflows.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes.
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and rigorous code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, leading technical designs, or owning components end-to-end.

Desired Skills:

• Deep experience with Apache Arrow (columnar in-memory format).
• Hands-on experience with Apache Calcite (SQL parsing, planning, optimization framework).
• Experience with Gandiva or LLVM-based expression compilation and code generation.
• Experience with open table formats — Apache Iceberg, Delta Lake, or Hudi.
• Deep familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Deep understanding of query planning, optimization (cost-based, rule-based), and execution internals.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Track record of performance optimization at the systems level — profiling, vectorization, cache/memory-conscious design.
• Prior experience contributing to open-source data infrastructure projects.

We are looking for a Senior Fabric Developer passionate about building systems that shape business outcomes. You will drive and manage large-scale data migration and modernization initiatives and work with cross-functional teams to deliver trusted, high-quality data that drives business intelligence, analytics, and innovation.

Responsibilities and Duties: 
- Strong Kimball/Medallion data warehouse expertise, delivered through Microsoft Fabric (Delta lakehouses, Spark notebooks) on an Azure SQL MI source. 
- Heavy AI-assisted development requires rigorous post-generation validation and code review. 
- Able to work near EST hours, up to 3 pm EST would be excellent, all the way to 5 pm EST would be perfect. 

Full-time remote job. 6-month contract.

About the Project
Our client operates community and specialty hospitals, a managed care organization, a physician network, community health centers, and home care and other health-related entities in the United States. The Research Portal — one of the internal products — is a web-based application with over 10,000 current users developed for the entire research community to review, monitor, and manage research portfolio. The main goal is to unite distributed and complex organizational processes into one application and help alleviate administrative burdens. 
 

Skills & Experience

• 5+ years of professional experience in data warehouse development.
• Strong hands-on experience with: T-SQL, stored procedures, query performance tuning, and indexing strategies.
• Proven experience building and maintaining ETL pipelines with SSIS (SQL Server Integration Services).
• Solid understanding of dimensional modeling (star/snowflake schemas), slowly changing dimensions, and data warehouse design best practices.
• Experience with source-to-target mapping, data quality checks, and reconciliation processes.
• English — Upper Intermediate or above.
   

Nice to have

• Familiarity with Azure data services (Azure SQL MI, IR, Data Factory, SSIS, Storage Account, Key Vault) as a migration/modernization path.
• Experience working with healthcare or other regulated/compliance-sensitive data.
• Exposure to CI/CD practices for database and ETL deployments.
   

Responsibilities

• Design, build, and maintain ETL/ELT pipelines using SSIS to move and transform data from operational systems into the data warehouse.
• Design and evolve dimensional models (facts, dimensions, SCDs) that support reporting and analytics needs.
• Write and tune complex T-SQL queries, stored procedures, and views; troubleshoot performance bottlenecks.
• Establish and enforce data quality, validation, and reconciliation processes across the warehouse.
• Collaborate closely with Product Owners, Business Analysts, and backend engineers to translate business requirements into data models and pipelines.
• Document data flows, schemas, and transformation logic to support maintainability and onboarding.
• Serve as an escalation point for data-related production issues; perform root-cause analysis and implement long-term fixes.
• Monitor ETL job health and proactively address failures, latency, and data drift.

Now we are looking for a Data Engineer to join our team, who will design and maintain our data pipelines, integrate with third-party payment systems, and work closely with our data analysts to keep our data ecosystem accurate and efficient.
 

What you’ll do:

• Write Python integrations with third-party payment systems (PayPal, Primer, Solidgate, etc.)
• Design, develop, and maintain data pipelines and ELT/ETL processes for internal DWH
• Ensure the quality of data presented in BI dashboards
• Collaborate with data analysts to troubleshoot data issues and optimize data workflows
   

Who you are:

• At least 2 years of BI/DWH development experience
• Strong hands-on experience writing production-level Python code, including building and maintaining integrations with third-party APIs (REST APIs, authentication/OAuth, pagination, rate limiting, webhooks)
• Hands-on experience integrating with payment/billing platforms such as PayPal, Primer, Solidgate, Stripe, or similar payment gateways
• Experience working with app store billing/reporting APIs (App Store Connect/iTunes, Google Play Console/Billing)
• Proven experience designing, implementing, and maintaining ELT/ETL data pipelines
• Experience working with cloud-native technologies (GCP/AWS)
• Knowledge of database concepts and hands-on experience with SQL
   

Would be a plus:

• Background in enterprise financial reporting and subscription monetization
• Exposure to product and marketing data analytics
• Familiarity with mobile products
• Working knowledge of Airflow
• Bachelor’s/Master’s degree (Computer Science, Mathematics, or equivalent practical experience)
   

We Offer:

• Remote-First culture: We provide a flexible working schedule and you can work anywhere in the world.
• Health taking care program: We provide Health insurance, mental health support (psychologist compensation), sport compensation, and 20 paid sick days.
• Personal Equipment Policy: We provide all necessary equipment for your work. For Ukrainian employees we also provide Ecoflow.
• Vacation Policy: Each employee in our company has 20 paid vacation days and extra days on the occasion of special evens.
• Knowledge sharing: We are glad to share our knowledge and experience in our internal events.
• English Lessons: We provide corporate English lessons to support your professional and personal growth.
• Professional Development: Annual learning budget for courses, training, certifications, and conferences.
• Public Holidays: You receive days off according to the official public holidays of your country of residence.
• Coworking Compensation (Ukraine): We provide coworking space compensation for employees located in Ukraine.
   

Hiring process:

Recruitment Screen 👉 Tech interview 👉 Final interview 👉 Reference Check 👉 Job Offer

We are looking for a Senior Data Engineer to join a strategic marketing technology (Martech) transformation initiative for a large enterprise organization. The project focuses on modernizing the client's marketing data platform, rebuilding data pipelines, and improving marketing attribution across multiple business brands.

As part of a dedicated data engineering team, you will help build a scalable, cloud-native data platform on Google Cloud Platform (GCP), enabling better visibility into marketing performance and supporting data-driven decision making. This is a long-term engagement through the end of 2026, working closely with the client's Data Engineering, Product, and Martech teams.

Responsibilities:

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP).
• Build and optimize data models in BigQuery to support analytics and marketing reporting.
• Rebuild legacy marketing data pipelines following modern engineering best practices and enterprise standards.
• Contribute to the development of a canonical enterprise data model and semantic data layer.
• Support the implementation and adoption of DataHub as the enterprise data catalog.
• Develop automated CI/CD pipelines for data engineering workflows and enforce coding and data quality standards.
• Ensure proper data isolation between multiple business brands while enabling consolidated reporting where appropriate.
• Collaborate closely with Product Managers, Martech specialists, Analytics teams, and other data engineers to deliver business value.
• Optimize data processing performance, reliability, monitoring, and cost efficiency.

Required Qualifications:

• 5+ years of experience as a Data Engineer.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Advanced experience with BigQuery.
• Strong SQL and Python development skills.
• Experience designing and implementing modern ELT/ETL pipelines.
• Solid understanding of dimensional modeling, semantic modeling, and enterprise data architecture.
• Experience building production-grade CI/CD pipelines for data platforms.
• Familiarity with Git and modern software engineering best practices.
• Strong communication skills and ability to work within cross-functional teams.
• Upper-Intermediate or higher English.

Nice to Have:

• Experience with marketing technology (Martech) platforms and marketing attribution.
• Hands-on experience integrating: Google Ads, Google Analytics (GA4), Search Ads 360 (SA360), Campaign Manager 360, DV360
• Experience with DataHub or similar data catalog solutions.
• Experience implementing semantic layers for analytics platforms.
• Understanding of multi-brand or multi-tenant data architectures.
• Experience modernizing legacy data platforms and rebuilding pipelines from scratch.

ORIL is seeking a skilled and proactive Senior BI/Data Engineer to design, scale, and maintain our mission-critical, AI-driven data platform. At the core of our engineering culture is a steadfast commitment to performance, reliability, clean data architecture, and uncompromising data integrity. The ideal candidate is an autonomous problem-solver who thrives in an agile environment, takes end-to-end ownership of data pipelines, and ensures robust, scalable deployments.
 

About the Project

Our client is a US-based innovator providing a centralized data platform for multi-family real estate. The product leverages BI analytics and AI to help operators optimize marketing spend and operational efficiency. The platform aggregates complex real estate datasets to feed real-time BI dashboards and power an intelligent Text-to-SQL analytics chatbot.
 

What are we looking for?

• 4+ years of experience building and maintaining production-grade data pipelines, backend data architectures, and BI systems;
• Strong expertise in Python and advanced SQL (complex queries, query optimization, indexing, and performance tuning);
• Proven experience with Data Modeling (Star/Snowflake schemas, relational databases, data warehousing concepts);
• Hands-on experience building and maintaining ETL/ELT pipelines;
• Strong experience with data cleaning, normalization, and aggregation to ensure accurate, consistent, and reliable data for both BI dashboards and AI applications;
• Experience working with relational databases and modern Data Warehouses;
• Experience with BI tools (e.g., PowerBI, Tableau, Metabase, or custom visualization solutions);
• Curiosity about multi-family real estate domain metrics (marketing spend, occupancy rates, operational efficiency, ROI) to better design analytical models;
• English level: Upper-Intermediate (B2+).
   

What will you do?

• Design, build, and optimize scalable ETL/ELT data pipelines to process real estate data from multiple sources;
• Architect and maintain clean, structured databases and data models optimized for fast querying, BI reporting, and AI/LLM integration (Text-to-SQL);
• Ensure data quality, consistency, and freshness across the entire platform through automated testing and monitoring;
• Collaborate with the AI/ML Engineer to prepare, expose, and optimize data schemas required for the intelligent chatbot and automated AI insights;
• Build and support analytical dashboards/reports that help business users derive actionable insights;
• Diagnose and resolve data bottlenecks, slow queries, and pipeline failures;
• Work closely with Product Managers and the engineering team to refine the data roadmap and ensure smooth data integration.
   

We Offer:

• Flexible engagement (Part-time or Full-time for 3+ months);
• Competitive compensation;
• Accounting support services;
• Flexibility to work from anywhere (fully remotely or in our office in Lviv);
• Comprehensive day-off policy, including public holidays and special events;
• Education & certification budget + corporate education events;
• Wellness budget;
• An agile environment and culture that promotes personal and team development.
   

Application Process:

1. Initial Screening: Call with Recruiter.
2. Technical Interview.
3. CI (Culture Index) Test.

We are looking for a Senior DevOps Engineer with strong AWS, Terraform, Kubernetes, database, and infrastructure security experience to work with our fintech client.

The engineer should be able to independently own infrastructure projects, make technical decisions, communicate directly with client teams, and support the professional growth of other team members.

This is a hourly contractor role

Responsibilities

• Own infrastructure projects from technical design through implementation and production rollout.
• Design, automate, and maintain AWS infrastructure using Terraform.
• Develop and improve CI/CD pipelines.
• Maintain development, staging, and production environments.
• Operate, upgrade, and troubleshoot Kubernetes clusters, primarily AWS EKS.
• Maintain and troubleshoot database infrastructure, backups, replication, performance, and high-availability configurations.
• Implement infrastructure security best practices, access controls, secrets management, vulnerability monitoring, and security remediation.
• Implement and improve monitoring, logging, alerting, and observability.
• Participate in production incident response, root cause analysis, and preventive improvements.
• Review infrastructure changes and provide technical guidance to other engineers.
• Create and maintain clear technical and operational documentation.
• Communicate infrastructure changes, risks, incidents, and recommendations to client teams.

Requirements

• 7+ years of professional experience in DevOps, SRE, Platform Engineering, or a similar role.
• Strong hands-on experience with production AWS environments.
• Strong experience with Terraform and infrastructure-as-code practices.
• Production experience with Docker and Kubernetes.
• Experience managing and troubleshooting AWS EKS clusters.
• Experience building and maintaining CI/CD pipelines using GitHub Actions, Jenkins
• Strong Linux administration and troubleshooting skills.
• Scripting experience with Bash or Python.
• Practical experience with relational and NoSQL databases, including services such as PostgreSQL, MySQL, RDS, Aurora, MongoDB, or Redis.
• Understanding of database backups, replication, failover, migrations, performance monitoring, and high availability.
• Strong understanding of infrastructure and cloud security principles.
• Experience with AWS IAM, secrets management, encryption, network security, vulnerability remediation, and least-privilege access.
• Experience with monitoring and observability tools such as Prometheus, Grafana, CloudWatch, OpenTelemetry, or similar.
• Strong networking knowledge, including VPC, DNS, HTTP/HTTPS, SSL/TLS, TCP/IP, load balancers, firewalls, and VPNs.
• Experience with Git-based development and infrastructure change workflows.
• Understanding of SDLC, release management, incident management, and production change management.
• Ability to independently plan, own, and deliver technical projects.
• Experience reviewing work, mentoring engineers, and helping other team members grow.
• Written and verbal English communication skills, as the role involves regular collaboration with development teams.

Nice to Have

• AWS certifications such as AWS Certified Solutions Architect, DevOps Engineer, or Security Specialty.
• Kubernetes certifications such as CKA, CKAD, or CKS.
• Terraform Associate certification.
• Experience working in fintech or other regulated environments.
• Knowledge of PCI DSS, SOC 2, ISO 27001, GDPR, or similar security and compliance frameworks.
• Experience with Terragrunt and multi-account or multi-region AWS environments.
• Experience with AWS security services such as GuardDuty, Security Hub, WAF, Inspector, Config, and CloudTrail.

• Experience leading infrastructure migrations, disaster recovery, high-availability, or cost-optimisation projects.

   

Engagement

• Full-time contractor.
• Long-term engagement.
• Remote work.
• Direct collaboration with the client’s engineering teams.

The Defense Procurement Agency (DOT) is a national agency responsible for procuring ammunition, UAVs, military equipment, fuel, food, clothing, and other critical supplies for the Armed Forces of Ukraine and the Defense Forces.

Our mission: Strengthening Ukraine by ensuring reliable support for the Defense Forces while fostering the development of the national defense industry.

Our vision: To become the driving force behind the transformation of Ukraine's defense procurement ecosystem—not only operating the system, but continuously improving it.

We are looking for a Head of Data Governance to establish and lead the organization's enterprise Data Governance function. In this role, you will define the vision, policies, standards, and governance framework for managing data across the organization, ensuring high-quality, trusted, and well-governed data that enables informed decision-making and supports large-scale digital transformation initiatives.

Responsibilities

• Lead the design, implementation, and continuous improvement of the organization's Data Governance framework.
• Develop and maintain enterprise-wide data policies, standards, methodologies, and governance processes.
  Establish and enhance Master Data Management (MDM), Reference Data, Metadata Management, and Data Quality practices.
• Define data ownership, stewardship, governance roles, and accountability across business units.
• Develop data quality standards, monitoring processes, and governance controls.
• Collaborate with business stakeholders, analysts, architects, and engineering teams to define enterprise data requirements.
• Contribute to enterprise data models and integration requirements across corporate information systems.
• Prepare governance documentation, methodologies, standards, and best practices.
• Ensure Data Governance principles are embedded into the implementation of new enterprise systems and digital services.
• Build, lead, mentor, and develop the Data Governance team while driving collaboration across the organization.

Requirements

• Bachelor's degree in Information Technology, Applied Mathematics, Economics, Finance, or a related field.
• Proven experience in Data Governance, Data Management, Business Intelligence, Business Analysis, or related disciplines.
• Hands-on experience implementing or improving Data Governance, Master Data Management (MDM), Data Quality, or Metadata Management initiatives.
• Strong understanding of Data Governance principles, data lifecycle management, and enterprise data architecture.
• Experience developing enterprise policies, standards, governance frameworks, or methodological documentation.
• Experience collaborating with business and technology teams to define and implement enterprise data requirements.
• Understanding of enterprise platforms such as ERP, CRM, BI, Data Warehouse, or similar systems.
• Experience leading teams or coordinating cross-functional initiatives.
• Strong analytical thinking, structured problem-solving, and stakeholder management skills.
• English proficiency at Intermediate level or higher.

Nice to Have

• Experience with SQL, Power BI, or other Business Intelligence platforms.
• Experience implementing Business Glossary, Data Catalog, or Metadata Management solutions.
• Knowledge of DAMA-DMBOK, DCAM, or other Data Governance frameworks.
• Experience supporting enterprise digital transformation programs.

What We Offer

• Meaningful work that directly contributes to strengthening Ukraine's defense capabilities.
• Official employment with competitive salary and full social benefits.
• Professional development, learning opportunities, and career growth.
• Structured onboarding and dedicated mentorship.
• A collaborative, supportive, and mission-driven team.
• Modern office near the metro with reliable internet and equipped shelter.
• Opportunity to establish and scale an enterprise-wide Data Governance function within one of Ukraine's most strategically important organizations.

By joining our team, you will contribute to one of Ukraine's largest digital transformation initiatives in the defense sector and help build the future of defense procurement.

Ready to make a real impact? We'd love to hear from you. Apply today!

* By submitting your CV, you consent to the processing of your personal data in accordance with applicable legislation.

** Due to the high volume of applications, only candidates whose qualifications best match the position will be contacted.

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster. We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact. Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is a CX AI platform that enables enterprises to deliver intelligent, automated, and personalized customer experiences across all digital channels. Powered by advanced AI, large language models, and real-time decisioning, the client transforms customer interactions into proactive, context-aware journeys-boosting efficiency, empowering agents, and driving measurable business outcomes at enterprise scale. As a DevOps Engineer, you’ll keep our high-traffic production environments fast, reliable, and secure-and you’ll do it with modern tooling and a strong bias toward automation. We’re looking for someone who treats AI as a force multiplier: curious about new tools, quick to adopt them, and always looking for ways to use AI to eliminate toil, accelerate delivery, and improve operational quality. If you’re passionate about perfecting technology beyond your imagination and want to take part in the revolution of business automation while having a great time doing it – the client is the perfect place for you!

Key Requirements:
🔹 4+ years of experience as a DevOps/SRE/Platform engineer in a high-scale, high-traffic environment;
🔹 4+ years of experience with AWS solutions (EC2, RDS, VPC, S3, Lambda, CloudFront, IAM);
🔹 Hands-on experience with Docker and container orchestration; working knowledge of Kubernetes (EKS) and Helm;
🔹 Experience building CI/CD pipelines and GitOps flows (GitHub Actions, ArgoCD, or equivalents);
🔹 Hands-on experience with scripting languages (Bash/Python), and comfort using AI coding assistants to speed up script generation, tooling, and troubleshooting;
🔹 A demonstrated passion for learning and adopting AI tools to enable and optimize DevOps work-you actively experiment with new tools and bring them into daily practice;
🔹 Experience with both Linux and Windows-based systems, with an understanding of system performance and security;
🔹 Experience with source code management and infrastructure automation (GitHub, and IaC tools);
🔹 Experience managing and troubleshooting cloud and hybrid web environments;
🔹 Experience with database management (MySQL, Redis, Elasticsearch/OpenSearch);
🔹 English – Upper-Intermediate or higher.

Will be plus:
🔹 Experience with AIOps and using AI/ML to predict failures, automate root-cause analysis, and optimize resource allocation;
🔹 Experience with Kubernetes, CloudFormation, Terraform, and NewRelic;
🔹 Experience managing traffic and security with Cloudflare (WAF, Workers, CDN);
🔹 Experience with ELK, IIS, and Directory Services;
🔹 Familiarity with SAST/security scanning tools and shift-left security practices;
🔹 Knowledge of infrastructure as code and familiarity with DevOps cultural principles;

What you will do:
🔹 Build, maintain, and improve our CI/CD pipelines using GitHub Actions to support automated testing, linting, and security gates for daily, low-friction deployments;
🔹 Operate and evolve our GitOps workflow with ArgoCD as the source of truth for cluster state;
🔹 Manage various AWS environments across multiple accounts using Infrastructure as Code, and help optimize edge performance and security;
🔹 Run and troubleshoot Kubernetes (EKS) workloads and contribute to shared Helm charts that abstract complexity for developers while enforcing security and compliance standards;
🔹 Handle technical challenges around performance, scale, and security, and provide root-cause analysis for production incidents;
🔹 Leverage AI tools-coding assistants, AIOps, and automation-to accelerate delivery, script and tooling development, incident diagnosis, and routine operational workflows;
🔹 Continuously identify and automate away repetitive manual work, proposing improvements to reliability, observability, and developer experience;
🔹 Collaborate with the R&D team to optimize service performance, deployment, reliability, failover, and scale;
🔹 Maintain awareness of best industry practices regarding CloudOps, fast deployment, security, and monitoring tools;

Interview stages:
🔹 HR-interview;
🔹 Interview with managers;
🔹 Technical test/interview;
🔹 Final interview with engineering;
🔹 Short HR interview;
🔹 Reference Check;
🔹 Offer.

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

Level: Senior Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior Software Engineer to design, build, and own significant components of the core query engine of a large-scale distributed data platform. You will lead work across query planning, optimization, and execution — driving architectural decisions, mentoring middle engineers, and pushing the platform's performance and scalability boundaries across all major clouds.

This is a systems-level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

Responsibilities

• Architect, design, and implement significant components of the query engine — planner, optimizer, execution operators, memory management, and data access layers.
• Write and review high-quality, performance-critical code in Java and/or C++.
• Own end-to-end delivery of features from technical design through production rollout.
• Drive performance optimization work — profiling, benchmarking, and eliminating bottlenecks in latency- and throughput-sensitive paths.
• Integrate deeply with columnar formats, open table formats, and connectivity drivers.
• Mentor middle engineers, lead code reviews, and set technical standards for the team.
• Contribute to CI/CD architecture and quality processes across Jenkins, containerization, and multi-cloud deployment (GCP, AWS, Azure via Kubernetes / Docker).
• Debug complex, cross-layer issues spanning query planning, distributed execution, memory management, and I/O.
• Partner with US-based engineering leads on design reviews, architectural decisions, and roadmap execution.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Java or C++, with deep understanding of OOP, systems design, memory management, and concurrency. Candidates strong in both are especially valued.
• SQL & Data: Advanced SQL skills and strong understanding of query execution internals — planning, optimization, and operator implementation.
• Data processing systems experience: Demonstrated experience building or extending data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 5+ years in backend/systems software engineering, with a track record of owning significant components.
• CI/CD & DevOps: Solid experience with Jenkins and modern engineering workflows.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes.
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and rigorous code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, leading technical designs, or owning components end-to-end.

Desired Skills

• Deep experience with Apache Arrow (columnar in-memory format).
• Hands-on experience with Apache Calcite (SQL parsing, planning, optimization framework).
• Experience with Gandiva or LLVM-based expression compilation and code generation.
• Experience with open table formats — Apache Iceberg, Delta Lake, or Hudi.
• Deep familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Deep understanding of query planning, optimization (cost-based, rule-based), and execution internals.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Track record of performance optimization at the systems level — profiling, vectorization, cache/memory-conscious design.
• Prior experience contributing to open-source data infrastructure projects.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

Level: Middle Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Middle-level SDET to design and maintain automated tests for a large-scale distributed data platform. You will validate the correctness, performance, and reliability of the query engine, connectivity layer, and backend services across all major clouds.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Develop and maintain automated tests in Python / pytest for backend services, REST APIs, and distributed data components.
• Write end-to-end, integration, and regression tests covering SQL query execution, data correctness, and platform APIs.
• Support performance and load testing with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Validate data-intensive scenarios — query plans, result correctness across data sources, metadata consistency, and behavior under concurrency.
• Contribute to CI/CD test pipelines in Jenkins — configure, maintain, and troubleshoot.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Investigate failures across the stack — query engine, distributed services, drivers, infrastructure — and drive them to resolution with engineering.
• Collaborate with US-based developers on testability and quality gates.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with a solid grasp of OOP and software design principles.
• SQL & Data: Strong SQL skills and solid understanding of how relational and analytical data systems work.
• Data-intensive testing experience: Hands-on experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 3+ years in backend/system test automation or SDET roles.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and deploying/maintaining test environments.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.

Desired Skills

• Experience testing REST APIs and backend microservices at scale.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

Level: Middle Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Middle-level Software Engineer to work on the core query engine of a large-scale distributed data platform. You will develop features across query planning, optimization, and execution, contribute to performance-critical components, and help evolve the platform's ability to process massive analytical workloads across heterogeneous data sources.

This is a systems-level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

Responsibilities

• Develop and maintain features across the query engine — planning, optimization, execution, and data access layers.
• Write high-quality, performance-conscious code in Java and/or C++.
• Work with SQL semantics, query plans, and execution operators over large-scale distributed data.
• Integrate with columnar formats, open table formats, and connectivity drivers used across the platform.
• Contribute to CI/CD pipelines and automated testing — participate in build, test, and release workflows in Jenkins.
• Deploy and validate work in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Debug complex issues spanning query planning, distributed execution, memory management, and I/O.
• Collaborate closely with US-based engineering teams on design reviews, code reviews, and technical decisions.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Java or C++, with solid OOP and software design fundamentals. Candidates comfortable with both are especially valued.
• SQL & Data: Strong SQL skills and solid understanding of relational and analytical data systems, including query execution concepts.
• Data processing systems experience: Hands-on experience with data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 3+ years in backend/systems software engineering.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and modern development workflows.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.

Desired Skills

• Experience with Apache Arrow (columnar in-memory format).
• Familiarity with Apache Calcite (SQL parsing, planning, optimization framework).
• Exposure to Gandiva or LLVM-based expression compilation.
• Experience with open table formats — Apache Iceberg, Delta Lake, or Hudi.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of query planning, optimization, and execution internals.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Experience with performance profiling and optimization of latency-sensitive systems.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

Level: Senior Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior SDET to lead the design of automated test frameworks and testing strategy for a large-scale distributed data platform. You will own the quality of the query engine, connectivity layer, and backend services end-to-end — from framework architecture through CI/CD infrastructure across all major clouds — and mentor middle engineers on the team.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Architect, design, and evolve automated test frameworks in Python / pytest for backend services, REST APIs, and distributed data components.
• Define testing strategy for new features and platform components — coverage, risk assessment, and quality gates.
• Own end-to-end, integration, performance, and regression testing covering SQL query execution, data correctness at scale, and platform APIs.
• Lead performance and load testing efforts with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Design and validate large-scale data testing scenarios — query plans, result correctness across heterogeneous data sources, metadata consistency, and behavior under high concurrency.
• Own CI/CD test pipelines in Jenkins — architect, maintain, and continuously improve.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker; drive automation and reproducibility.
• Investigate complex, cross-layer failures and drive root-cause analysis with engineering.
• Mentor middle SDETs, review test designs, and set quality standards across the team.
• Partner with US-based development leads on shift-left practices, testability, and release readiness.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with deep understanding of OOP, software design principles, and test framework architecture.
• SQL & Data: Advanced SQL skills and strong understanding of relational and analytical data systems, including query execution internals.
• Data-intensive testing experience: Demonstrated experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 5+ years in backend/system test automation, with demonstrated ownership of test strategy and infrastructure.
• CI/CD & DevOps: Solid experience architecting and maintaining Jenkins pipelines and test environments.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes (running workloads, debugging pods, deploying complex environments).
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, defining test strategy, or leading a QA/SDET function.

Desired Skills

• Deep experience testing REST APIs and backend microservices at scale.
• Hands-on with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Strong understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools at production scale.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Deep understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
• Prior experience leading a QA/SDET function in a data-platform or database engineering environment.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.

• We are building a next generation cross asset data fabric, which will bring together disparate data sources for the global bank. It will enable industry leading analytics, reporting and data science solutions. There are multiple streams within application covering Reporting, Data and Analytics.

   

• Responsibilities:

  This role is for a Senior Business Intelligence (BI) Developer to create reporting framework and set up the ground work for creation of Tableau reporting via Dashboards and scheduled reporting. The ideal candidate will help to ensure highest level of quality of a product being developed while working very closely with different stakeholders spread across globally
  Candidate will work independently and is highly self-motivated. Applies skills and knowledge of the business to test creative solutions to meet client and business needs.

   

• Mandatory Skills Description:

  - Strong SQL and Data Analyst experience.
  - Python skills
  - Proven experience as a BI developer/Data Engineer
  - Background in data warehouse design (e.g., dimensional modeling) and data mining
  - Understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
  - Team player, good on communication with Business Analysts or Traders, - Highly Motivated, quick learner, general interest in Equity/Equity - Derivatives Trading Business. Experience in Risk Department (Risk area).
  - Exposure to Equities business
  - Must have worked in Agile min 2+ years
  - Must have good analytical & logical skills
  - Strong interpersonal, oral and written communication

   

• Nice-to-Have Skills Description:

  - Experience in Tableau
  - Understanding of Big Data concepts and technologies, enabling effective handling and analysis of large datasets
  - Concepts (HDFS,Spark,Hive,Impala)

   

• Languages:
  • English: B2 Upper Intermediate