Jobs Data Engineer

About the Project:
• We are looking for a Senior AI/ML Engineer to join a product AI team developing an AI-powered CRM system.
• The product includes an AI assistant that performs user-requested tasks within the CRM.
• Its architecture includes proprietary LLM APIs, a personalized RAG/context system for each user, agentic workflows and scheduled agents.
• A major focus of the project is optimizing the AI system, controlling token usage and costs, and ensuring reliable production performance.
About the Role:
• This is a hands-on role covering the full LLM stack.
• The engineer will work with LLM application engineering, agentic systems, RAG, context management, fine-tuning, model deployment and production MLOps.
• The role goes beyond prompt engineering or simple LLM API integration.
• The person should be able to make technical decisions independently and take AI functionality from an idea to production.
Responsibilities:
• Design and improve agentic workflows and AI systems.
• Work with LLM APIs and the existing AI architecture.
• Develop RAG and context systems to personalize the user experience.
• Optimize token usage and AI-related costs.
• Fine-tune or adapt models when necessary.
• Participate in deployment, monitoring and production support of AI systems.
• Improve the quality, stability and scalability of AI solutions.
• Make architectural decisions and independently drive tasks from idea to implementation.
Requirements:
• Senior-level experience in AI/ML and LLM projects.
• Proven experience building and deploying AI systems, not only prototypes or experiments.
• Experience with agentic systems, RAG or other LLM-based solutions.
• Understanding of fine-tuning, model adaptation and model evaluation.
• Experience with production deployment and MLOps.
• Strong software engineering and architectural skills.
• High level of autonomy and ownership.
Candidate Profiles:
• We are open to both strong ML/research engineers with productionization experience and production-focused LLM engineers with deep experience building, optimizing and operating AI systems.
• In either case, senior-level ownership and hands-on experience are essential.
Nice to Have:
• Experience with multi-agent systems and scheduled agents.
• Experience optimizing the cost and performance of LLM systems.
• Experience with self-hosted models, GPU inference or model serving.
• Experience working on AI products and complex user workflows.
• Experience processing different data formats and working with text-based AI systems.

Start: asap
Duration: 15.12.2026 (option of extension)
Workload: 100%
Location: remote
Language: English

Project Objective
• Implementation of an engineering initiative for:
• Automating IoT Hub disaster recovery processes
• Scaling frontend capacities
• Introducing Mender Enterprise for secure software updates

Role in the Project
Implementation of the backend integration of Mender Enterprise SaaS into the e.IoT platform for secure, large-scale software updates.

Responsibilities
• Deployment and backend API integration of Mender Enterprise into the e.IoT platform
• Setup of software package signing pipelines
• Implementation of automatic fail-safe rollback mechanisms for edge updates

Required Profile
• API integration expertise

• Very strong scripting skills in:
o Python
o Bash
o PowerShell

• Experience with:
o Software supply chain security
o Code signing
o Secrets management
•   Mender Enterprise
•    API Integration
•    Python
•    Bash
•    PowerShell
•    Software Supply Chain Security
•    Code Signing
•    Secrets Management
•    Edge Device Update Management

 

Client

Our client is the UK’s leading development finance institution, dedicated to supporting companies in developing countries and driving sustainable growth.

Position overview

We are looking for a Senior/Lead Data Engineer to join a distributed team working on modern cloud-based data solutions within the Azure ecosystem. The role involves designing, developing, and maintaining scalable data pipelines and integrations that support business-critical reporting, analytics, and operational processes.

You will work closely with cross-functional teams, contributing to architecture decisions, delivery processes, and continuous platform improvements while ensuring high standards of quality and reliability.

Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT processes using Azure technologies
• Build and support scalable solutions using Azure Data Factory (ADF), Azure SQL, and other Azure services
• Develop backend logic and automation using Python, Azure Functions, and Logic Apps
• Collaborate with stakeholders, analysts, and engineering teams to gather requirements and deliver data solutions
• Monitor, troubleshoot, and optimize data workflows and integrations
• Participate in code reviews, technical discussions, and solution design activities
• Contribute to CI/CD and deployment processes within the Azure environment
• Ensure data quality, security, and performance best practices are followed
   

Requirements

• Strong hands-on experience with Azure Data Factory (ADF)
• Solid experience with Azure SQL and the Azure Data Stack
• Strong Python development skills
• Experience working with Azure Logic Apps and Azure Function Apps
• Good understanding of cloud-based data architecture and integration patterns
• Experience building and maintaining scalable data pipelines
• Familiarity with Azure DevOps, Git, and CI/CD pipelines
• Experience working in Agile development environments
• Strong communication and collaboration skills
• Upper-Intermediate or higher English level

Nice to have

• Experience leading technical initiatives or mentoring engineers
• Knowledge of data governance and security best practices
• Experience with infrastructure automation or monitoring tools
• Exposure to financial services or development finance domains

Our client is looking for a Data Engineer.

Role Overview:Our client is looking for a Data Engineer to help them develop and maintain their data platform. Their infrastructure is primarily AWS-based, with Airflow, S3 and Redshift at its core, alongside a legacy stack based on MS SQL Server, SSIS and custom Python scripts. You will work on building reliable data pipelines, improving data infrastructure, and gradually modernising legacy processes.Key Responsibilities:

• Design, develop and maintain scalable and reliable data pipelines and ETL/ELT processes;
• Develop and optimise data warehouse solutions;
• Develop and maintain data infrastructure, primarily on AWS, while also supporting parts of our legacy infrastructure;
• Develop APIs and data integrations;
• ontribute to the development and maintenance of real-time data pipelines using Kafka;
• Automate and optimise data processes and workflows;
• Monitor, troubleshoot and improve the reliability, performance, security and data quality of pipelines and infrastructure;
• Work closely with the analytics team and other stakeholders to understand their data needs and deliver effective solutions;
• Maintain clear and up-to-date documentation for data pipelines, infrastructure and workflows;
• Contribute to the improvement and modernisation of existing data processes and architecture.

Required Skills & Experience:

• 2+ years of professional experience in data engineering;
• Strong SQL and Python skills;
• Hands-on experience with AWS, including S3, Redshift, Glue and Lambda;
• Hands-on experience with Apache Airflow;
• Strong understanding of data warehousing concepts and data modelling;
• Hands-on experience designing, developing and maintaining production data pipelines, with a focus on reliability, monitoring and data quality;
• Solid understanding of relational and non-relational databases;
• Familiarity with Git and CI/CD practices, preferably GitLab;
• Experience developing APIs and data integrations;
• Kafka and real-time data processing experience is a plus;
• MS SQL Server and SSIS experience is a plus;
• Good written and verbal communication skills;
• Upper-intermediate English or higher.

The company guarantees you the following benefits:

• A positive workplace atmosphere that creates a culture of collaboration and support, making it a place you'll love working in;
• Competitive compensation and regular career development reviews;
• Flexible working hours and remote working options, you'll enjoy the freedom that the company provides;
• A generous vacation and sick leave policy, allowing you to take time off and enjoy a work-life balance;
• Financial assistance for professional development, helping you stay ahead of the curve and love your career path;
• Educational Allowances that give you the opportunity to expand your knowledge and experience;
• You'll have a monthly allowance for personal activities, giving you the opportunity to pursue your interests and hobbies outside of work;
• A comprehensive health insurance plan, depending on your current location;
• Referral program with financial rewards for bringing top talent to the company;
• Engaging in team-building activities and corporate parties.

Interview process:

• HR Interview with the Recruiter;
• Techincal inetrview;
• Final interview with the team.

If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

We are looking for a Data Engineer to join our team and play a key role in building scalable, reliable, and business-focused data products from the ground up. This is a great opportunity to contribute to the development of core data infrastructure, influence technical decisions, and help establish best practices in data engineering across the organization.

Responsibilities:

• Build data engineering products (data models, pipelines, data quality automations, monitoring), end-to-end ownership of data products.
• Collaborate closely with data analysts, PMs, and stakeholders on both new and existing data products

• Apply best engineering CI/CD practices to data workflows and processes

   

Requirements:

• 3+ years of experience in Data Engineering, Analytics Engineering, or a related field
• Strong knowledge of SQL, Python, and dbt
• Hands-on experience with ELT/ETL, data quality, and analytics engineering
• Experience working with cloud platforms such as AWS, GCP, or Azure

• Experience with cloud data warehouses such as Databricks, Snowflake, BigQuery, Redshift, or similar

   

Nice to have:

• Strong attention to automation
• DevOps background
• Product engineering mindset (focus on business impact, not just data engineering)
• Experience with BI tools and delivering impactful analysis

What you'll be doing

• Own the lakehouse architecture: bronze/silver/gold layers, Iceberg/Delta tables, schema evolution.
• Land operational data via CDC streaming (Kafka, Debezium), handling late and duplicate events.
• Design data layout for speed and cost: partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Own retention and archival: storage tiering, regulatory retention, immutability, GDPR deletion.
• Guarantee correctness: freshness SLAs, drift detection, reconciliation against the source wallet and ledger systems.
• Own governance: catalog and lineage, row/column access control, PII masking, encryption, audit trails.
• Monitor ingestion health, data anomalies, and cloud storage/compute spend.

Must-have

• Senior: 5+ years in data engineering, with real ownership of a large-scale data lake or lakehouse.
• Lakehouse architecture — bronze/silver/gold layering, an open table format (Iceberg, Delta, or Hudi), schema evolution.
• Data layout & query optimization at TB+ scale — partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Cloud lakehouse/DWH in production — Snowflake, Databricks, or BigQuery.
• CDC & streaming ingestion — Kafka + Debezium or equivalent; late, duplicate and out-of-order events.
• Strong SQL and data modeling — enough relational grounding to reason about the OLTP systems you capture from. Critical for financial ledgers.
• Correctness — freshness SLAs, drift detection, reconciliation against source wallet/ledger systems.
• Governance — catalogs, lineage, row/column access control, PII masking, retention, GDPR deletion.
• Cloud object storage — S3 or GCS, plus storage tiering and archival.
• Python and an orchestrator — Airflow or Dagster, as tools.

Location & work model

Kraków, Poland. Hybrid — 2 days per week from the office.

We are looking for AVEVA PI System Engineers at Middle and Senior levels to join our team and work on industrial data solutions for international customers.

You’ll work with the AVEVA PI System ecosystem, helping customers collect, structure, contextualize, analyze, and get value from operational data.

Depending on your experience, you can contribute as a PI System Engineer or take ownership of technical delivery as a Senior Engineer.
 

What you’ll do

• Implement, configure, maintain, and support AVEVA PI System solutions.
• Work with industrial operational data and help structure it into meaningful, reliable information.
• Design and develop Asset Framework (AF) structures and information models.
• Work with Event Frames, PI Analytics, calculations, and data contextualization.
• Troubleshoot technical issues and support PI System environments in production.
• Contribute to PI System implementations, upgrades, migrations, and optimization projects.
• Create technical documentation, reusable templates, standards, and best practices.
• Collaborate with engineers, consultants, and customers to deliver reliable and scalable solutions.
   

For PI System Engineer

We’d expect you to have:

• 2+ years of hands-on experience with AVEVA PI System in application support, implementation, or technical project delivery.
• Good understanding of PI System concepts, including Asset Framework, information modelling, calculations, data contextualization, and operational data integration.
• Experience troubleshooting and supporting PI System environments.
• Ability to work independently while knowing when to involve more experienced colleagues.
• Interest in developing towards a customer-facing PI System consulting role.
   

For Senior PI System Engineer

In addition to the above, you should have:

• 5+ years of hands-on experience implementing, configuring, optimizing, and supporting AVEVA PI System solutions in production environments.
• Strong expertise in Asset Framework, information modelling, Event Frames, PI Analytics, and scalable/reusable PI System data models.
• Experience leading complex implementations, upgrades, migrations, or performance optimization initiatives.
• Ability to independently troubleshoot complex technical issues in business-critical PI System environments.
• Experience acting as a Technical Lead or taking technical ownership of PI System projects.
• Ability to define and promote technical standards, implementation approaches, and best practices.
   

What we offer

• International projects in the industrial / operational technology domain.
• Opportunity to work with experienced PI System professionals and develop your expertise.
• A chance to grow towards a consulting or technical leadership role.
• Remote-first work environment.
• Challenging projects where industrial data and technology have a real business impact.
   

If you have strong AVEVA PI System experience and are looking for your next technical challenge, we’d be happy to hear from you.

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.

We are looking for a senior data engineer with deep Databricks experience to own the data platform behind one of our largest enterprise accounts and lead its migration from AWS to Databricks.

About the role

Data infrastructure is the foundation of everything we deliver. Our models, dashboards, and the decisions our clients make on top of them are only as reliable as the pipelines underneath, which is why we put the platform first.

You will join a small senior team working inside the client's environment. Through the rest of 2026 you will take ownership of the existing pipelines and the architecture around them. From 2027 you will lead the migration to Databricks: designing the target architecture, planning the cutover, and doing the implementation. This is a hands-on engineering role with real architectural authority. You decide how the platform gets built, and then you build it.

You will be the person the team turns to on anything Databricks, working alongside senior machine learning engineers and data scientists who depend on what you deliver.

What you will do:

• Design and build the target Databricks architecture, and plan the migration from the current AWS stack
• Build and maintain production data pipelines: ingestion, transformation, and orchestration
• Own data quality, including the checks and alerts that catch problems before the client does
• Design the data models the analytics and machine learning work sits on
• Support the pipelines you build: monitoring, alerting, and the on-call reality of production data
• Work directly with the client's engineers, and explain technical decisions to people who are not engineers

Requirements:

• Five or more years in data engineering or software development
• At least three years of production Databricks work
• Deep experience with Spark, Delta Lake, and Unity Catalog
• Has planned and executed at least one migration onto Databricks from another platform, and can walk through the challenges
• Expert Python: clean modular code, comfortable with optimization and profiling
• Advanced SQL and relational database work: raw SQL, data modeling, scripted migrations
• Systems design: how storage and compute fit together, end to end pipelines, containerized applications
• Cloud operations on AWS or equivalent: networking, identity and access management, monitoring and alerting, and the domain knowledge for why things break
• Comfortable working inside a client's environment, with their data and their constraints
• Strong written English, and spoken English good enough to present your work
• Available for some overlap with United States working hours

Nice to have:

• Databricks certification
• Deep AWS experience specifically, since that is the platform we are migrating from
• dbt, Airflow, or a similar transformation and orchestration framework
• Machine learning pipeline experience, since models run on top of what you build
• Background in utilities, energy, telecoms, or another regulated industry
• Experience being the senior engineer a client relies on directly

You are:

• Careful with data quality, and you ask when something looks wrong instead of guessing
• A self starter who can turn a general requirement into a specific estimate and a deliverable
• Someone who documents. We write things down, and every number we deliver carries its source
• Comfortable in a small remote team where nobody is checking your hours

About Bennett Data Science

We have spent ten years building predictive analytics and data science for enterprise clients, from some of the largest companies in the world to startups in Silicon Valley. Our engineers sit inside the client's systems and build critical systems. The work ships to production and lands at the bottom line.

What we offer:

• Competitive compensation, reviewed as you grow
• Work from anywhere, with a flexible schedule
• A small senior team, so your work is visible and your decisions are important
• Direct exposure to enterprise clients and the problems they actually have
• Mentorship from senior staff, and the space to grow and mentor others

Our Customer is a Sweden-based AdTech company specializing in advanced self-serve advertising platforms that automate direct transactions between advertisers and major global publishers. Their solutions improve transparency and operational efficiency in digital advertising and are trusted by globally recognized brands including TripAdvisor, Bloomberg, The Washington Post, Opera, and Dow Jones. The company processes millions of advertising transactions worldwide and is actively investing in AI-driven data capabilities.

PROJECT

The project focuses on building a modern data platform from the ground up with an emphasis on immutable event streams, governed canonical models, semantic layers, and scalable analytics infrastructure. The platform will support analytical workloads, operational data products, AI applications, and future customer-facing data experiences.

As a Principal / Staff Data Platform Engineer, you will own key architectural decisions, define scalable engineering standards, and help deliver the first production-ready version of the platform in a high-scale AdTech environment.

Key Technologies: Apache Iceberg, Spark, Flink, Trino, AWS, Python, Scala, Java, CI/CD, Infrastructure as Code

Job Description

• Lead the technical design and architecture of a modern enterprise-scale data platform
• Define scalable data flows from Iceberg-based event storage into analytical and operational data products
• Evaluate and select technologies for orchestration, transformation, querying, serving, and storage
• Design reusable canonical entities and data models across advertising, campaigns, inventory, billing, and customer domains
• Establish scalable engineering patterns for batch and near-real-time processing
• Build reliable and observable data pipelines for high-volume AdTech workloads
• Implement data quality, lineage, observability, and reconciliation capabilities
• Collaborate with Platform Engineering teams to introduce CI-enforced data contracts and governance standards
• Define tenant isolation, access control, and regional data boundary strategies
• Establish standards for testing, deployment automation, schema evolution, and versioning
• Optimize platform performance, scalability, and infrastructure costs
• Mentor engineers and contribute to engineering excellence across the team
• Partner closely with leadership and cross-functional stakeholders

Qualifications

• 8+ years of experience designing and operating production-grade data platforms
• Strong expertise in distributed data systems and high-volume event-driven architectures
• Deep understanding of modern lakehouse architectures and Apache Iceberg
• Advanced SQL skills and production experience with Python, Java, Scala, or similar languages
• Experience with distributed processing and query technologies such as Spark, Flink, or Trino
• Strong knowledge of data modeling, partitioning strategies, and performance optimization
• Proven experience building batch and near-real-time data pipelines
• Hands-on experience with AWS cloud infrastructure
• Strong understanding of CI/CD pipelines, Infrastructure as Code, and production observability
• Experience implementing data contracts, schema evolution, and data quality frameworks
• Ability to make pragmatic architectural decisions in greenfield environments
• Upper-Intermediate or higher English level
• Strong communication and technical leadership skills
   

Will be a plus
 

• Experience in AdTech or other high-volume event-processing domains
• Experience designing multi-tenant SaaS data architectures
• Familiarity with semantic layer technologies
• Experience supporting both analytics and ML/AI workloads
• Understanding of privacy regulations and data residency requirements

Additional information

What success looks like within your first six months:

• The first production data foundation is running.
• Clear architectural decisions have been made and documented.
• Events entering the data platform have enforceable contracts.
• Core canonical entities exist and are tested.
• Data quality and lineage are observable.
• Other engineers can contribute without needing to understand every implementation detail.

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.

We're looking for a Senior Site Reliability Engineer to join our dream team and play a crucial role in building the Infrastructure and DevOps department that powers our innovative, industry-leading products.
 

How will you make a difference?

● Solid experience (3+ years) participating in and contributing to DevOps transformations and infrastructure evolution

● Strong proficiency with Google Cloud Platform (GCP) services, including services like Cloud Run, BigQuery, Cloud Storage or Networking

● Solid experience with Infrastructure as Code tools (e.g., Terraform) for provisioning and managing GCP resources

● Experience with containerization technologies (e.g., Docker)

● Experience with monitoring and logging tools specific to GCP (e.g., Cloud Monitoring, Cloud Logging, Prometheus, Grafana)

● Experience with some programming languages (preferably Typescript, JS, Go or Python)

● Knowledge of version control systems (e.g., Git)

● A strong preference for working in agile and dynamic environments

● Ability to contribute to teamwork and effective collaboration across teams
 

What will you do?

● Implement and refine monitoring, logging, and alerting strategies using GCP's native tools and other relevant solutions

● Maintain and improve Continuous Integration and Continuous Deployment (CI/CD) pipelines

● Collaborate with mobile, web and backend development teams to implement best practices for deployment, performance optimization, and observability of mobile backends on GCP.

● Ensure that security best practices are followed in the configuration of GCP infrastructure and deployment pipelines for mobile backends.

● Maintain detailed technical documentation on deployment architecture, processes, and troubleshooting guides specific to our mobile backend infrastructure on GCP.

● Assist in identifying and implementing improvements to our GCP infrastructure and DevOps processes to enhance efficiency and reliability.

Why join us?
 

🌍 Remote-first & flexible work

• Fully remote working model.
• Access to an office if there is one available in your location.
• Monday–Friday, 40-hour working week.
• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)

🏖️ Vacation & sick leave

• 15 paid working days of vacation during the first year.
• 20 working days after 2 years.
• 25 working days after 3 years.
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary.
• Public holidays are days off by default.

❤️ Health & family benefits

• Medical insurance or medical insurance compensation.
• Company gifts for:
  • Birthday
  • Wedding
  • Birth of a child
• Paid lunches at the office.
• Family days etc.

📑 FOP / Individual Entrepreneur Support if needed
🔄 Paid Bench period between projects
🤝 No time-tracking software — transparent and trust-based time reporting.
🎁 Referral Program

If you are a Senior Site Reliability Engineer who enjoys building reliable data infrastructure, taking ownership of production, solving complex problems, and understanding how data impacts real business decisions, we would love to hear from you.

What We're Looking For

Seeking Alpha is looking for a Senior Data Engineer responsible for designing, building, and maintaining the infrastructure necessary for analyzing large data sets. This individual should be an expert in data management, ETL (extract, transform, load) processes, and data warehousing and should have experience working with various big data technologies, such as Hadoop, Spark, and NoSQL databases. In addition to technical skills, a Senior Data Engineer should have strong communication and collaboration abilities, as they will be working closely with other members of the data and analytics team, as well as other stakeholders, to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with the overall business goals and objectives.

The Senior Data Engineer will be engaged with the company as a contractor (Private Entrepreneur).

What You'll Do

• Work closely with data scientists/analytics and other stakeholders to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with business goals and objectives
• Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores. 
• Continuously monitor and optimize the performance and reliability of the data infrastructure, and identify and implement solutions to improve scalability, efficiency, and security
• Stay up-to-date with the latest trends and developments in the field of data engineering, and leverage this knowledge to identify opportunities for improvement and innovation within the organization
• Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.
• Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.
• Enhance the team's dev-ops capabilities.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 2+ years of proven experience developing large-scale software using an object-oriented or functional language.
• 5+ years of professional experience in data engineering, focusing on building and maintaining data pipelines and data warehouses
• Strong experience with Spark, Scala, and Python, including the ability to write high-performance, maintainable code
• Experience with AWS services, including EC2, S3, Athena, Kinesis/Firehose Lambda and EMR
• Familiarity with data warehousing concepts and technologies, such as columnar storage, data lakes, and SQL
• Experience with data pipeline orchestration and scheduling using tools such as Airflow
• Strong problem-solving skills and the ability to work independently as well as part of a team
• High-level English - a must. 
• A team player with excellent collaboration skills.

Nice to Have:

• Expertise with Vertica or Redshift, including experience with query optimization and performance tuning
• Experience with machine learning and/or data science projects
• Knowledge of data governance and security best practices, including data privacy regulations such as GDPR and CCPA.
• Knowledge of Spark internals (tuning, query optimization)

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

Due to continuous growth, our Data Platform is excited to welcome a motivated Data Engineer to help us align reliable marketing, payments, and product data with business goals to drive organizational success.
As a Data Engineer, you’ll play a vital role in building and operating the pipelines that feed daily reporting, attribution, and LTV and be responsible for ingesting data from ad platforms, payment
systems, and product backends into Databricks, orchestrating jobs in Airflow, and keeping silver/gold tables accurate and on time. Working closely with Analytic, Marketing and Data Science teams, you’ll have the opportunity to make a meaningful impact on both our products
and processes.
If you’re passionate about solving complex problems, collaborating across departments, and driving results, this role is perfect for you!
 

As a Data Engineer, you will:

• Build, maintain, and improve data pipelines that support marketing, payments, product analytics, reporting, attribution, and LTV analysis.
• Ingest and transform data from advertising platforms, payment systems, and product backends into the data platform.
• Work with Databricks, including Delta Lake and Unity Catalog, to develop and maintain reliable data models and processing workflows.
• Orchestrate data pipelines and scheduled jobs using Apache Airflow.
• Ensure that silver and gold tables are accurate, reliable, and available on time for downstream users and processes.
• Proactively identify, troubleshoot, and resolve data and pipeline issues to optimize both internal and external processes.
• Take ownership of production data workflows, including scheduled jobs, data quality checks, monitoring, and alerting.
• Investigate failed or delayed production runs and ensure that critical daily processes are restored on time.
• Work with stakeholders across Product, Engineering, Marketing, Analytics, and Data Science to understand requirements, evaluate technical options, and develop appropriate data solutions.
• Balance multiple projects and priorities without compromising quality.
• Develop tools and processes that improve data reliability, efficiency, and usability across the organization.
• Consider business requirements, brand standards, cultural nuances, and regulatory requirements when designing and implementing solutions.
• Contribute to an agile working environment and continuously look for opportunities to improve both technical and operational processes.
   

What will make you stand out

We are looking for someone who combines strong technical expertise with analytical thinking, ownership, and the ability to work effectively in a cross-functional environment.
 

Technical experience:

• Solid professional experience in Data Engineering or a closely related role.
• Strong proficiency in Python and SQL.
• Hands-on experience with Apache Spark.
• Experience working with Databricks, including Delta Lake and/or Unity Catalog.
• Experience with Apache Airflow and workflow orchestration.
• Experience with GCP, particularly Google Cloud Storage (GCS) and BigQuery.
• Experience building, maintaining, and troubleshooting production-grade data pipelines.
• Understanding of data quality, monitoring, alerting, and reliable data delivery.
• Experience working with APIs and integrating external data sources is highly desirable.
   

Nice to have:

• Experience with dbt.
• Experience integrating advertising platforms or marketing data, such as Google Ads or similar platforms.
• Experience working with payment or subscription platforms, such as Stripe, RevenueCat, or similar services.
• Experience working with marketing attribution, subscription data, customer LTV, or related business analytics.
• Experience in a product-oriented or digital business environment.
• Solid understanding of Agile methodologies.
   

Soft skills

• Excellent analytical and problem-solving abilities, with a strategic approach to tackling complex challenges.
• Strong ownership and accountability for production systems and delivered results.
• Ability to investigate issues independently, identify root causes, and implement sustainable solutions.
• Strong collaboration skills and the ability to work seamlessly with cross-functional teams.
• Exceptional communication skills, with the ability to explain technical topics clearly to stakeholders with different levels of technical expertise.
• Ability to manage multiple projects and priorities while maintaining a high standard of quality.
• Curiosity about the business behind the data — including marketing spend, subscriptions, attribution, LTV, and product performance — rather than focusing only on the pipelines that move the data.
• A proactive mindset and willingness to continuously improve processes, tools, and ways of working.
   
• Advanced English proficiency (В2-С1), both written and spoken, for effective communication in an international working environment.
   

Why join us?
 

🌍 Remote-first & flexible work

• Fully remote working model.
• Access to an office if there is one available in your location.
• Monday–Friday, 40-hour working week.
• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)

🏖️ Vacation & sick leave

• 15 paid working days of vacation during the first year.
• 20 working days after 2 years.
• 25 working days after 3 years.
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary.
• Public holidays are days off by default.

❤️ Health & family benefits

• Medical insurance or medical insurance compensation.
• Company gifts for:
  • Birthday
  • Wedding
  • Birth of a child
• Paid lunches at the office.
• Family days etc.

📑 FOP / Individual Entrepreneur Support if needed
🔄 Paid Bench period between projects
🤝 No time-tracking software — transparent and trust-based time reporting.
🎁 Referral Program

If you are a Data Engineer who enjoys building reliable data infrastructure, taking ownership of production, solving complex problems, and understanding how data impacts real business decisions, we would love to hear from you.

We are looking for a Middle Data Analytics Engineer to build reusable, production-grade pipelines that power our data deals, which are large-scale curated training sets for leading AI labs. You’ll ship engineering solutions with immediate revenue impact and collaborate with some of the world’s largest AI companies. 

 

Responsibilities:

• Work with the business development (BD) team, content experts, data science, and engineering teams to understand customer requirements and available metadata.
• Map customer requirements to our existing metadata and apply data modelling practices to maximize reusability and scalability
• Build DBT models that are capable of querying up to 1B rows efficiently
• Refine DBT models based on visual QA to ensure accurate datasets at scale.
• Propose and implement automated solutions that streamline the curation process and increase scalability.
• Serve as the engineering point of contact, partnering with Business Development to ensure accurate timelines, clear requirements, and manage all technical implementation pieces of the workflow
• Assist the expansion of the data curation workflow to accommodate data science approaches within DBT, streamline the review process to ensure a more rigorous statistical approach with more comprehensive testing

Requirements:

• Strong SQL background with an understanding of query optimization and Snowflake experience.
• DBT experience preferred. 
• Great communication skills.
• 3-5 years of experience in analytics/data engineering.
• Perform code reviews and collaborate with the team to create an optimized ecosystem.

Nice to have:

• BigQuery.
• Python.
• ClickHouse.
• Experience delivering projects in an operational environment. 
• Interest in data science to aid the understanding of customer use cases.
• Interest in photography, music and video creation.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers