Jobs Data Engineer

We are looking for a Data Engineer to join our team!

Data Engineer is responsible for designing, maintaining, and optimizing data infrastructure for data collection, management, transformation, and access.

He/she will be in charge of creating pipelines that convert raw data into usable formats for data scientists and other data consumers to utilize.

Data Engineer should be comfortable working with RDBMS and has a good knowledge of the appropriate RDBMS programming language(s) as well.

The Data Engineer fulfills processing of client data based on proper specification and documentation.

     Main responsibilities:

• Design and develop ETL pipelines;
• Data integration and cleansing;
• Implement stored procedures and function for data transformations;
• ETL processes performance optimization.

     Skills and Requirements:

• Experience with ETL tools (to take charge of the ETL processes and performs tasks connected with data analytics, data science, business intelligence and system architecture skills);
• Database/DBA/Architect background (understanding of data storage requirements and design warehouse architecture, should have the basic expertise with SQL/NoSQL databases and data mapping, the awareness of Hadoop environment);
• Data analysis expertise (data modeling, mapping, and formatting, data analysis basic expertise is required);
• Knowledge of scripting languages (Python is preferable);
• Troubleshooting skills (data processing systems operate with large amounts of data and include multiple structural elements. Data Engineer is responsible for the proper functioning of the system, which requires strong analytical thinking and troubleshooting skills);
• Tableau experience is good to have;
• Software engineering background is good to have;
• Good organizational skills, and task management abilities;
• Effective self-motivator;
• Good communication skills in written and spoken English.

     Salary Range

Compensation packages are based on several factors including but not limited to: skill set, depth of experience, certifications, and specific work location.

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 looking for an AI Data Engineer to help build, maintain, and improve internal and client-facing LLM-powered systems. This role sits at the intersection of data engineering, retrieval infrastructure, and production AI operations, with a strong focus on reliability, retrieval quality, scalability, and operational excellence.

A technology company focused on helping businesses move faster with AI by designing and delivering practical, production-grade systems across workflows, operations, and knowledge-heavy use cases. The team works closely with clients to turn AI from experimentation into reliable, scalable execution.

You will work on the pipelines, indexing systems, evaluation frameworks, and production infrastructure that power AI assistants using hosted LLM APIs and internal knowledge sources. This is a hands-on role for someone who can think across ingestion, search, observability, and system performance.

Key Requirements:

🔹 Strong programming skills, especially in Python;
🔹 Experience building ETL and data pipelines in production environments;
🔹 Strong SQL skills and experience with relational databases, preferably, PostgreSQL;
🔹 Experience with search and retrieval systems, including OpenSearch, Elasticsearch, or similar platforms;
🔹 Familiarity with vector databases, embeddings workflows, and large-scale, document indexing;
🔹 Experience with cloud platforms such as AWS and related infrastructure services;
🔹 Familiarity with Git, CI/CD pipelines, and modern engineering workflows;
🔹 Strong problem-solving skills and comfort working across data, infrastructure, and AI application layers;
🔹 English – Upper-Intermediate or higher.

Will be plus:

🔹 Experience working on RAG systems, internal knowledge assistants, or search-heavy AI applications;
🔹 Familiarity with observability stacks, distributed systems, and workflow, orchestration tools;
🔹 Experience with access control, permission-aware systems, and auditability in enterprise environments;
🔹 Exposure to evaluation frameworks for LLM systems and model benchmarking;

What you will do:

🔹Working with Vector Databases
🔹Maintain and improve ingestion and enrichment pipelines for internal and client content, including parsing, extraction, normalization, metadata enrichment, deduplication, and quality monitoring
🔹Improve indexing and retrieval quality through chunking and segmentation refinements, embedding and index update workflows, metadata filtering, and caching
🔹Support hybrid retrieval architectures combining vector search, keyword or BM25 search, and metadata-aware filtering
🔹Implement and maintain access-aware retrieval by propagating and enforcing document permissions at indexing and query time, including audit logs and
validation tests
🔹Improve source attribution so responses consistently point to the correct documents, sections, and references in a reliable format
🔹Extend and harden tool execution, workflow orchestration, and automations, including retries, timeouts, idempotency, concurrency controls, and run history
🔹Develop and maintain evaluation and regression testing frameworks, including golden datasets, automated scoring, and structured comparisons across LLM providers and models
🔹Operate AI systems in production, including logs, metrics, tracing, alerting, incident response, performance tuning, cost monitoring, and runbook documentation
🔹Build scalable infrastructure to process, embed, index, and search very large document collections efficiently

Interview stages:

🔹 HR interview;
🔹 30-min screening call;
🔹 Technical interview;
🔹 Test assignment/homework;
🔹 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.

As a Senior Cloud Solution Architect at Lindt & Sprüngli, your primary goal is to design and implement cutting-edge cloud solutions, leveraging Microsoft Azure as the main hyperscaler. You will play a pivotal role in driving cloud adoption, ensuring scalability, reliability, and security for our clients' mission-critical systems.

Responsibilities

The Senior Cloud Solution Architect is a key member of the Infrastructure Team, responsible for leading the design, architecture, and deployment of cloud solutions, with a focus on Microsoft Azure. This role requires a strategic mindset, hands-on technical expertise, and the ability to collaborate effectively with cross-functional teams and stay abreast of emerging technologies.

Skills

Must have

Technical Skills:

Master's Degree in Computer Science, IT, or similar field

6+ years of commercial experience;

2+ years of experience on a SA or similar role

Proven experience in designing and implementing complex, scalable, and secure cloud solutions on Microsoft Azure for enterprise-grade solutions (e.g. Cloud

Adoption Framework, Well-Architected Framework, ).

Hands-on experience with a broad range of Microsoft Azure cloud services (IaaS, PaaS, Networking, Security, Data Services).

Experience with SAP solutions, containerization principles (e.g., Kubernetes, Docker), identity management, and data analytics and AI (e.g. Fabric, Databricks,

Foundry) is a plus.

Proven experience designing hub-and-spoke topologies, cross-premises networking solutions in a hybrid-cloud environment (DNS, routing, VPN, ExpressRoute, Firewall).

Expertise in Infrastructure as Code (e.g., Terraform, ARM) and architectural principles for CI/CD.

Soft Skills:

Strong problem-solving skills and attention to detail.

Strong commitment to quality, attention to detail, and continuous improvement.

Strong analytical and problem-solving skills, with the ability to troubleshoot and resolve complex technical issues across various cloud components.

Excellent communication, presentation, and leadership skills, with the ability to articulate complex technical concepts to diverse audiences.

Nice to have

German / French / Italian / Spanish

We are looking for a Senior Cloud Architect with strong Azure and cloud-native infrastructure experience to support the evolution of a modern SaaS platform.

The role combines architecture, platform design, security-aware infrastructure, Kubernetes, automation, and modernization of existing systems. You will help define and improve cloud infrastructure patterns used by multiple engineering teams.

Responsibilities

• Design scalable and secure cloud-native infrastructure.
• Define architecture patterns for Azure-based environments.
• Work closely with platform engineering, DevOps, SRE, and product engineering teams.
• Support Kubernetes-based architecture and platform modernization.
• Improve infrastructure reliability, security, automation, and scalability.
• Help standardize cloud architecture practices across engineering teams.
• Review and improve existing infrastructure, including legacy systems.
• Support technical decision-making around cloud services, networking, security, and deployment models.
• Provide guidance to senior engineers and engineering teams.

Requirements

• Experience with Azure cloud architecture.
• Experience with AKS / Azure Kubernetes Service or Kubernetes in production.
• Understanding of cloud-native infrastructure design.
• Experience with security-aware infrastructure and best practices.
• Experience with infrastructure as code, such as Terraform, Bicep, Pulumi, or similar.
• Understanding of CI/CD, GitOps, and modern delivery practices.
• Experience designing systems for reliability, scalability, and maintainability.
• Ability to work with international distributed teams.
• Strong English communication skills.

Nice to have

• Experience with ArgoCD or other GitOps tools.
• Experience with OpenTelemetry or modern observability stacks.
• Experience in B2B SaaS environments.
• Experience supporting large-scale R&D organizations.
• Background in platform engineering or SRE.
• Experience with cloud cost optimization and governance.

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a Business Development Executive to join one of our clients' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

We are seeking an Azure Cloud / Platform Engineer to support the infrastructure and platform layer of a modern AI-driven application.
Despite the common title, this is not a traditional data engineering role (no BI, no reporting, no heavy ETL pipelines).
This role focuses on cloud infrastructure, system integration, and deployment. Core Azure environments (Dev / Test / Prod) are pre-provisioned by the client. This role configures and wires services within those environments. It does not stand up the cloud footprint from scratch.

Job requirements
 

Azure Cloud Expertise
• Hands-on experience with:
o Azure App Services / Functions / Container Apps
o Azure Blob Storage
o Event Grid (topics, subscriptions, and BlobCreated triggers)
o Azure SQL or similar relational databases
o Application Insights for monitoring, logging, and alerting
o AzCopy for bulk data movement into Blob Storage
DevOps & Infrastructure
• Experience with Azure DevOps or similar CI/CD tools
• Experience using Azure CLI or PowerShell
• Experience with Docker / containers
Security & Identity
• Experience with:
o Managed identities
o Role-based access control (RBAC)
o Secure, cloud-native authentication approaches
Programming & Data
• Strong Python skills (automation, scripting, integrations)
• Solid understanding of SQL and database performance tuning
AI Tooling Experience (Required)
• Experience working with AI-assisted development tools
• Must demonstrate real-world usage in delivering working solutions
 

What You’ll Do
• Configure and wire Azure services within pre-provisioned environments to support application workloads
• Implement data ingestion pipelines using Azure services
• Configure and manage:
o Blob Storage
o Event-driven architecture
o Cloud-based databases
• Set up secure access using managed identities and role-based access control
• Support application deployment and CI/CD workflows
• Write lightweight Python scripts for automation and integration
• Run AzCopy operations for large-scale data backfills from source systems into Blob Storage
• Configure Application Insights for monitoring, logging, and alerts
• Create clear documentation and operational runbooks
• Collaborate with application engineers to ensure seamless platform integration

What We’re Looking For (Behaviorally)
• Comfortable in a supporting but critical role (you enable the system, not own the app)
• Focused on practical, lightweight solutions — not over-engineering
• Strong documentation habits (this role leaves behind a usable system)
• Ability to ramp up quickly and deliver in short, focused timeframes
• Strong async communicator
• The initial project commitment is six weeks. If the project is successful, there is a strong likelihood of additional work. The client has outlined approximately two years of potential work, but at this time, only the initial six-week engagement is formally committed.

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 looking for an AI Data Engineer to help build, maintain, and improve internal and client-facing LLM-powered systems. This role sits at the intersection of data engineering, retrieval infrastructure, and production AI operations, with a strong focus on reliability, retrieval quality, scalability, and operational excellence.

A technology company focused on helping businesses move faster with AI by designing and delivering practical, production-grade systems across workflows, operations, and knowledge-heavy use cases. The team works closely with clients to turn AI from experimentation into reliable, scalable execution.

You will work on the pipelines, indexing systems, evaluation frameworks, and production infrastructure that power AI assistants using hosted LLM APIs and internal knowledge sources. This is a hands-on role for someone who can think across ingestion, search, observability, and system performance.

Key Requirements:
🔹 Strong programming skills, especially in Python;
🔹 Experience building ETL and data pipelines in production environments;
🔹 Strong SQL skills and experience with relational databases, preferably, PostgreSQL;
🔹 Experience with search and retrieval systems, including OpenSearch, Elasticsearch, or similar platforms;
🔹 Familiarity with vector databases, embeddings workflows, and large-scale, document indexing;
🔹 Experience with cloud platforms such as AWS and related infrastructure services;
🔹 Familiarity with Git, CI/CD pipelines, and modern engineering workflows;
🔹 Strong problem-solving skills and comfort working across data, infrastructure, and AI application layers;
🔹 English – Upper-Intermediate or higher.

Will be plus:
🔹 Experience working on RAG systems, internal knowledge assistants, or search-heavy AI applications;
🔹 Familiarity with observability stacks, distributed systems, and workflow, orchestration tools;
🔹 Experience with access control, permission-aware systems, and auditability in enterprise environments;
🔹 Exposure to evaluation frameworks for LLM systems and model benchmarking;

What you will do:
🔹Working with Vector Databases
🔹Maintain and improve ingestion and enrichment pipelines for internal and client content, including parsing, extraction, normalization, metadata enrichment, deduplication, and quality monitoring
🔹Improve indexing and retrieval quality through chunking and segmentation refinements, embedding and index update workflows, metadata filtering, and caching
🔹Support hybrid retrieval architectures combining vector search, keyword or BM25 search, and metadata-aware filtering
🔹Implement and maintain access-aware retrieval by propagating and enforcing document permissions at indexing and query time, including audit logs and validation tests
🔹Improve source attribution so responses consistently point to the correct documents, sections, and references in a reliable format
🔹Extend and harden tool execution, workflow orchestration, and automations, including retries, timeouts, idempotency, concurrency controls, and run history
🔹Develop and maintain evaluation and regression testing frameworks, including golden datasets, automated scoring, and structured comparisons across LLM providers and models
🔹Operate AI systems in production, including logs, metrics, tracing, alerting, incident response, performance tuning, cost monitoring, and runbook documentation
🔹Build scalable infrastructure to process, embed, index, and search very large document collections efficiently

Interview stages:
🔹 HR interview;
🔹 30-min screening call;
🔹 Technical interview;
🔹 Test assignment/homework;
🔹 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.

Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for a Data Engineer to join our team.
We are expanding an international, diverse team with experts in trading, statistics, engineering, and technology. Our disciplined approach, combined with rapid market feedback, allows us to quickly turn ideas into profit. Our environment of learning and collaboration allows us to solve some of the world’s hardest problems, together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort.

At Atto Trading, data is the foundation of every trading decision we make. As a Senior Data Engineer, you will own and evolve the on-premise Data Lake that powers our quantitative research and production trading - a system handling 1PB+ of market data today and growing by 100TB each year.

The Role

You will take end-to-end ownership of our data infrastructure: from architecting high-performance storage on our VAST platform to designing the pipelines that deliver clean, reliable market data to traders and researchers. This is a high-ownership role in a small, fast-moving team where your work directly shapes our research and trading capabilities.

What You'll Do:

• Design and manage scalable on-premise storage systems optimized for high-throughput analytics and research workloads
• Build and operate end-to-end ETL/ELT pipelines (Prefect/Airflow) for market data across US Equities, Futures, SIP feeds, and other sources
• Implement data quality validation frameworks and SLA/SLO monitoring to detect anomalies and ensure data completeness
• Develop metadata and catalog layers for efficient data discovery and self-service access across the firm
• Design event-driven architectures for near real-time market data processing and delivery

• Conduct structured intake sessions with quant researchers to map their data access patterns, query workloads, latency needs, and iteration cycles

   

What We're Looking For

• 5+ years of experience in data engineering or data platform roles, with proven large-scale infrastructure ownership (100TB+)
• Strong understanding of market data structures: trades, quotes, order books, corporate actions
• Production-grade Python and SQL; experience building APIs (FastAPI or equivalent)
• Experience with DAG orchestration tools (Prefect, Airflow or similar)
• Deep familiarity with binary columnar storage formats (Parquet, Feather/Arrow IPC), including encoding strategies, compression tuning, row group sizing, predicate pushdown and schema evolution trade-offs
• Design namespace structure, tiering strategies, and protocol selection (NFS/S3) on VAST, optimizing for mixed workloads (experience with Vast Database and Vast Data engine is a plus)
• Bachelor's in Computer Science, Engineering, or equivalent; 
• Quantitative finance background is a plus

What We Offer:

• Competitive compensation with a performance-based bonus
• 25 days PTO
• Healthcare and gym budget
• Mental health support
• Paid lunches
• Relocation assistance
• Learning budget for courses and certifications
• All within a modern office and a team that genuinely loves what it builds

Location: Remote (Europe-based Ukrainian candidates only)

Project Sector: EnergyTech (Iceland)

Experience: 3–5 years

English Level: Upper-Intermediate / Advanced
 

ABOUT OUR CUSTOMER

It is a European company building exciting new products from scratch for startups and helping mature companies in their journey towards data-driven innovation and AI-based solutions. Their expertise spans EnergyTech, FinTech, ClimateTech, and more.

Founded in Ukraine and developed based on Scandinavian culture, HBM is hiring both in Ukraine and the EU. We combine the agility of a startup with a human-oriented leadership team and a strong focus on work-life balance.
 

PROJECT OVERVIEW

Our customer is a leading Icelandic energy company providing electricity, geothermal water, and carbon storage. We are looking for a Middle Data Engineer with a focus on support and optimization.

Unlike a typical "build-from-scratch" role, this position is centered around maintaining and stabilizing a complex DWH ecosystem. You will be the "guardian" of data flow, ensuring that daily operational pipelines run reliably and investigating failures in the legacy and modern stack.
 

TECH STACK

• Platforms: SQL Server, Azure
• BI Stack: Microsoft BI (SSRS, SSIS, SSAS — Olap and Tabular), Power BI, Tableau
• Tools: TimeXtender, exMon (monitoring)
• Languages: SQL (primary), Python, PowerShell
   

CHALLENGES & RESPONSIBILITIES

• Pipeline Troubleshooting: Investigating failed ETL tasks, timeouts, and execution errors.
• Root Cause Analysis: Identifying why data extractions from in-house systems (like SCADA) fail and fixing them.
• Monitoring: Working with exMon to resolve warnings and ensure data consistency in business-critical tables.
• DWH Maintenance: Correcting configuration issues in pipeline parameters, schedule triggers, or source/target connections.
• Collaboration: Working closely with the Icelandic on-site team and the Data Engineering Lead in an Agile environment.
• Documentation: Updating Jira tickets with clear English descriptions of problems and resolutions.
   

REQUIREMENTS

• Experience: 3–5 years of commercial experience with DWH solutions and data pipelines.
• SQL Mastery: Strong debugging skills, specifically with MS SQL Server.
• ETL Expertise: Solid experience with ETL/ELT workflows (SSIS, ADF, or similar).
• Analytical Mindset: Ability to parse log outputs, identify root causes, and correct code-level issues.
• DWH Concepts: Deep understanding of fact tables, dimensions, and staging layers.
• Soft Skills: Proactive "action-oriented" approach and the ability to communicate effectively with stakeholders.
• Language: Upper-Intermediate or Advanced English.
• Location: You are a Ukrainian currently residing in Europe.
   

NICE TO HAVE

• Experience with Python or PowerShell for data processing and automation.
• Background in the Energy sector or working with IoT/SCADA data.

RECRUITMENT PROCESS

1. HR Interview (30 min)
2. Managerial Interview (30 min)
3. Technical Interview (1.5 hours)
4. Customer Interview (30–45 min)
    

WE OFFER

• Long-term engagement with a stable Icelandic partner.
• A flat organization where your voice is heard.
• Flexible remote work from anywhere in Europe.
• Competitive compensation and a focus on well-being.
• Professional growth within a team that values Scandinavian work culture.

Are you passionate about building scalable, reliable data systems that power real-world solutions? We are looking for a Senior Data Engineer to join our team and work remotely from Europe, Ukraine, or LATAM.

At Sigma Software, we partner with innovative companies to deliver cutting-edge technology solutions. This role offers the opportunity to design and operate a canonical data platform that integrates diverse external data sources, ensuring high quality and flexibility.

Why join us? You’ll work with modern technologies, collaborate with talented professionals across multiple regions, and have the freedom to experiment and innovate while contributing to impactful projects in the AdTech domain.
 

CUSTOMER

Our client is a fast-growing AdTech company focused on solving real-world challenges in digital advertising and data-driven marketing. They specialize in building highly resilient and scalable systems that encourage experimentation and innovation. Their data platform is designed to be both powerful and flexible, enabling engineers to introduce new ideas and leverage the latest technologies to optimize advertising performance and audience insights.
 

PROJECT

The project involves developing and maintaining a canonical data platform that integrates multiple external data sources. It supports both full data loads and incremental updates, ensures high data quality, and leverages AI-assisted tools for monitoring and issue detection.

Key Technologies: Java, Scala, SQL, GCP Dataflow, REST APIs, AI-assisted tools, event-driven architectures

Responsibilities

• Design, build, and maintain reliable data pipelines to ingest and process data from external systems
• Implement integrations using Java or Scala, ensuring scalability and resilience
• Handle both full data loads and incremental updates efficiently
• Collaborate with engineering and product teams to align on integration and data needs
• Develop and maintain a unified internal data model
• Ensure data quality, detect and resolve incorrect or incomplete data
• Utilize AI-assisted tools to improve data quality and operational efficiency
• Monitor and optimize data pipelines for production readiness

Requirements

• At least 5 years of experience as a Data Engineer or Backend/Data Engineer
• Strong production experience with Java or Scala
• Proven experience integrating external systems via REST APIs (pagination, rate limiting, token-based authentication)
• Strong data modelling skills with structured, relational data
• Solid SQL knowledge
• Experience with GCP Dataflow
• Experience operating data pipelines in production environments
• Strong communication skills and ability to collaborate across teams

• At least an Upper Intermediate level of English

   

Will be a plus:

• Experience with event-driven architectures or messaging systems
• Designing canonical schemas across multiple data sources
• Experience with LLM (Large Language Models)

Personal profile:

• Proactive and detail-oriented
• Thrives in collaborative environments
• Enjoys solving complex integration challenges
• Comfortable experimenting with new technologies
• Committed to improving data systems

OUR COMPANY  

HBM is a European company building exciting new products from scratch for startups and helping mature companies in their journey towards data-driven innovation and AI based solutions. Our expertise refers to EnergyTech, FinTech, ClimateTech, SocialTech, PropTech, etc. 

Founded in Ukraine and developed based on Scandinavian culture, HBM is hiring both in Ukraine and the EU for our customers located in Europe and USA.  

Our values include skills, passion, excellence, equality, openness, mutual respect, and trust. 

At HBM, you can become a part of growing company, work with creative colleagues, and enjoy modern technologies and creating AI-based solutions. You’ll be part of a strong corporate culture combined with the agility and flexibility of a start-up backed by proven outsourcing and development practices, a human-oriented leadership team, an entrepreneurial mindset, and an approach to work-life balance. 

PROJECT 

Our customer is an Icelandic energy company providing electricity, geothermal water, cold water, carbon storage and optic network.  

We are looking for a Data Engineer with strong technical troubleshooting skills to be responsible for monitoring, investigating, and resolving operational issues related to data warehouse and data pipelines. The qualified candidate will work as part of the Data Engineering team and will handle incoming 2nd-line support tickets (primarily task failures, timeouts, execution errors, and data inconsistencies in scheduled processes). 

The role ensures that daily operational data flows run reliably and that incidents are triaged and resolved efficiently. 

Tech stack:  

• Platforms: SQL Server, Azure  
• Tools: Power BI, Tableau, Microsoft BI stack (SSRS, SSIS,SSAS [Olap and Tabular]), TimeXtender, exMon 
• Languages: SQL/Python/PowerShell 

WE PROVIDE YOU WITH THE FOLLOWING CHALLENGES 

• Troubleshooting failed scheduled tasks (e.g., ETL pipelines that time out, fail on specific datasets, or produce partial/incomplete outputs) 
• Investigating recurring timeout issues in ETL jobs (e.g., exMon timeout while running data extraction from in-house systems) 
• Resolving warnings raised by the monitoring system (exMon) 
• Identifying and escalating data quality inconsistencies (e.g., discrepancies in RG41 SCADA data, mismatches in business-critical tables) 
• Running or re-running failed jobs when appropriate 
• Correcting configuration issues in pipeline parameters, schedule triggers, or source/target connections 
• Cooperating closely with on-site team (status meeting, sprint planning, etc) 
• Collaborating closely with the Data Engineering Team Lead for priorities and escalations 
• Updating Jira tickets in English with clear problem descriptions and resolutions  

WE EXPECT FROM YOU 

• Degree (bachelor or master) in computer science or a comparable course of study 
• 3+ years of experience working with DWH solutions and data pipelines 
• Strong SQL debugging skills (preferably MS SQL Server) 
• Experience with ETL / ELT workflows (SSIS, ADF, custom pipelines, or similar) 
• Familiarity with data warehouse concepts (fact tables, dimensions, staging layers) 
• Ability to parse log outputs, identify root causes, and correct configuration or code-level issues in data jobs 
• Experience with job scheduling/monitoring systems (e.g., exMon or equivalents) 
• Excellent communication skills, ability to communicate to stakeholders on multiple levels 
• Action and quality-oriented 
• Experience of work the distributed, cross-culture Agile environment 
• English: upper-intermediate / advanced 

WOULD BE A PLUS 

• Experience with Python or similar languages for data processing 

WE OFFER YOU 

• Modern technologies, new products development, different business domains. 
• Start-up agility combined with mature delivery practices and management team. 
• Strong focus on your technical and personal growth. 
• Transparent career development and individual development plan. 
• Flexible working mode (remote/work from office), full remote possibility. 
• Competitive compensation and social package 
• Focus on the well-being and human touch. 
• Flat organization where everyone is heard and is invited to contribute. 
• Work-life balance approach to work. 
• Passion and Fun in everything we do. 

We’re currently looking for an experienced Data Engineer to join an innovative data analytics company that’s transforming the healthcare industry. Their mission is to bring together clinical and operational data—both structured and unstructured—and turn it into meaningful, AI‑driven insights. It’s a chance to work with a modern, scalable data ecosystem that truly makes an impact.

The company offers healthcare organizations a modern, out-of-the-box data ecosystem that creates a single source of truth necessary for enterprise-wide decision-making. The company has achieved HITRUST e1 Certification: A Milestone in Data Security Excellence. 

Main expectations:

• Strong Python 3.x backend development (Flask + multithreading)
• Solid SQL skills and hands‑on experience with PostgreSQL
• Practical experience with BigQuery and Google Cloud services
• Containerization skills (Docker/Podman) and basic Kubernetes knowledge
•  ETL/ELT pipeline experience and large‑scale data processing

Conditions:

•  Compensation: 5500–7000 USD/month
•  Contract: B2B
•  Remote‑friendly

We are looking for a Data Architect who will participate in the formation and development of Data Governance across the entire Bank. The main goal is to design and implement a comprehensive data architecture for the bank that ensures data quality, accessibility, security, and traceability (lineage) to support the Data Governance strategy, which ensures data consistency, business decision support, regulatory compliance, and maximization of data value as a strategic asset

Your future responsibilities:

• Designing target architecture: developing data models and requirements for their description
• Building data flow maps from source systems to reporting to ensure complete transparency of data origin
• Performing data profiling and analysis of the source system
• Formulating clear conclusions to support the end use of data
• Use metadata repositories to perform data and system integration impact analysis
• Participate in defining data exchange principles (ETL/ELT, Kafka, REST API) with a focus on data integrity
• Participate in the implementation of Data Quality Management (DQM): rules, monitoring, control
• Participate in the implementation of Data Governance controls in business processes and systems
• Identify data-related risks, develop and monitor a minimization plan
• Implement KPIs and OKRs for the Data Governance program
• Communicate results to key stakeholders

Your skills and experience:

• 3+ years of experience in banking or finance
• Expertise in data modeling techniques
• Strategic thinking and architectural approach
• Deep understanding of Data Governance Frameworks (DAMA-DMBOK, DCAM)
• Expertise in Data Quality, Master Data, Metadata, Data Security
• Strong analytical and problem-solving skills, as well as the ability to identify and solve complex data management issues
• Deep understanding of regulatory requirements (BCBS 239, GDPR)
• Communication skills: ability to translate complex data concepts into business-friendly language
• Familiarity with agile methodologies in a data environment

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program with rewards for bringing in new colleagues to Raiffeisen Bank
• Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns
• Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. Classification: PUBLIC
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages
• Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT Security, Leadership, Agile. Corporate library • Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs
• Career opportunities: we encourage advancement within the bank across functions
• Innovations and technologies: Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink
• Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bank’s veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by Forbes

Why Raiffeisen Bank?

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter!
• One of the largest lenders to the economy and agricultural business among private banks
• Recognized as the best employer by EY, Forbes, Randstad, Franklin Covey, and Delo.UA
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ)
• One of the largest IT product teams among the country’s banks. • One of the largest taxpayers in Ukraine; 6.6 billion UAH were paid in taxes in 2023

Opportunities for Everyone:

• Rife is guided by principles that focus on people and their development, with 5,500 employees and more than 2.7 million customers at the center of attention
• We support the principles of diversity, equality and inclusiveness
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to your special needs
• We cooperate with students and older people, creating conditions for growth at any career stage

Want to learn more? — Follow us on social media:

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Райффайзен Банк — найбільший український банк з іноземним капіталом. Більше 30 років ми створюємо та вибудовуємо банківську систему нашої держави.

У Райфі працює понад 5 500 співробітників, серед них одна із найбільших продуктових ІТ-команд, що налічує понад 800 фахівців. Щодня пліч-о-пліч ми працюємо, щоб більш ніж 2,7 мільйона наших клієнтів могли отримати якісне обслуговування, користуватися продуктами і сервісами банку, розвивати бізнес, адже ми #Разом_з_Україною. 

Ми шукаємо Дата Архітектора, який візьме участь у формуванні та розвитку Data Governance у масштабах всього Банку. Основна мета — проєктування та впровадження цілісної архітектури даних банку, яка забезпечує якість, доступність, безпеку та простежуваність (lineage) даних для підтримки стратегії Data Governance, яка забезпечує узгодженість даних, підтримку бізнес-рішень, відповідність регуляторним вимогам та максимізацію цінності даних як стратегічного активу.

Твої майбутні обов’язки:

• Проєктування цільової архітектури: розробка моделей даних та вимог до їхнього опису
• Побудова карт потоків даних від систем-джерел до звітності, щоб забезпечити повну прозорість походження даних
• Проводити профілювання даних та аналіз вихідної системи
• Формулювання чітких висновків для підтримки кінцевого використання даних
• Використовувати репозиторії метаданих для виконання аналізу впливу інтеграції даних та систем
• Приймати участь у визначенні принципів обміну даними (ETL/ELT, Kafka, REST API) з фокусом на цілісність даних
• Участь у впровадженні Data Quality Management (DQM): правила, моніторинг, контроль
• Приймати участь у впровадженні контролів Data Governance у бізнес-процеси та системи
• Ідентифікація ризиків, пов’язаних з даними, розробка та контроль плані мінімізації
• Впровадження KPI та OKR для Data Governance програми
• Комунікація результатів ключовим стейкхолдерам

Твій досвід та навички:

• 3+ досвід роботи в банківській або фінансовій галузі
• Експертне володіння методиками моделювання даних
• Стратегічне мислення та архітектурний підхід
• Глибоке розуміння Data Governance Frameworks (DAMA-DMBOK, DCAM)
• Експертиза в Data Quality, Master Data, Metadata, Data Security
• Сильні аналітичні навички та навички вирішення проблем, а також здатність виявляти та вирішувати складні проблеми управління даними
• Глибоке розуміння регуляторних вимог (BCBS 239, GDPR)
• Комунікаційні навички: здатність перекладати складні концепції даних на зрозумілу для бізнесу мову
• Знайомство з гнучкими методологіями в середовищі даних

Пропонуємо те, що має значення саме для тебе: 

• Конкурентна заробітна плата: гарантуємо стабільний дохід та річні бонуси за твій особистий внесок. Додатково, у нас діє реферальна програма винагороди за залучення нових колег до Райффайзен Банку.
• Соціальний пакет: офіційне працевлаштування, 28 днів оплачуваної відпустки, додатковий “декрет” для татусів, та матеріальна допомога для батьків при народженні дітей.
• Комфортні умови праці: можливість гібридного формату роботи, офіси забезпеченні укриттями та генераторами, забезпечення сучасною технікою.
• Wellbeing програма: для всіх співробітників доступні медичне страхування з першого робочого дня; консультації психолога, нутриціолога чи юриста; дисконт програми на спорт та покупки; family days для дітей та дорослих; масаж в офісі.
• Навчання та розвиток: доступ до понад 130 навчальних онлайн-ресурсів; корпоративні навчальні програми з CX, Data, IT Security, Лідерства, Agile. Корпоративна бібліотека та уроки англійської.
• Крута команда: наші колеги — це спільнота, де вітаються допитливість, талант та інновації. Ми підтримуємо один одного, вчимося разом та зростаємо. Ти можеш знайти однодумців у понад 15-ти професійних ком’юніті, читацькому чи спортивному клубах.
• Кар’єрні можливості: ми заохочуємо просування всередині банку між функціями.
• Інновації та технології. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go(infra,security), Swift (IOS), Kotlin (Andorid). Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink.
• Програма підтримки захисників і захисниць: ми зберігаємо робочі місця та виплачуємо середню заробітну плату мобілізованим. Для ветеранів та ветеранок у нас діє програма підтримки, розвивається ветеранська спільнота Банку. Ми працюємо над підвищенням обізнаності керівників та команд з питань повернення ветеранів до цивільного життя. Райффайзен Банк відзначений як один з найкращих роботодавців для ветеранів (Forbes).

Чому Райффайзен Банк? 

• Наша головна цінність — люди і ми даємо їм підтримку і визнання, навчаємо, залучаємо до змін. Приєднуйся до команди Райфу, адже для нас ТИ маєш значення! 
• Один із найбільших кредиторів економіки та аграрного бізнесу серед приватних банків 
• Визнаний найкращим працедавцем за версіями EY, Forbes, Randstad, Franklin Covey, Delo.UA 
• Найбільший донор гуманітарної допомогисеред банків (Червоний Хрест України, UNITED24, Superhumans, СМІЛИВІ) 
• Один із найбільших платників податків в Україні, за 2023 рік було сплачено 6,6 млрд гривень

Можливості для всіх: 

• Райф керується принципами, що фокусуються на людині та її розвитку, у центрі уваги 5 500 співробітників та понад 2,7 мільйони клієнтів  
• Підтримуємо принципи різноманіття, рівності та інклюзивності
• Ми відкриті до найму ветеранів і людей з інвалідністю та готові адаптувати робоче середовище під ваші особливі потреби
• Співпрацюємо зі студентами та людьми старшого віку, створюючи умови для зростання на будь-якому етапі кар’єри

Equals5 is a leading Healthcare Marketing SaaS for Pharma and Life Sciences. Our platform leverages exclusive NPI-level targeting technology to help brands reach healthcare professionals across 20+ channels with precise, user-level reporting.

The Role

We are looking for a Senior Data Engineer to join the Identity team at Equals5. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated—both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.
• Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.

What We Offer

• Fully remote with flexible hours (aligned with EU timezones for syncs).
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech for both daily coding and product features.
• High-Impact Role: You will directly influence how we identify and score users, impacting the core business logic.
• Cross-functional visibility: Work closely with Product and Tech Leads to shape the future of Identity.

• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

   

Description

The GlobalLogic technology team is focused on next-generation health capabilities that align with the client’s mission and vision to deliver Insight-Driven Care. This role operates within the Health Applications & Interoperability subgroup of our broader team, with a focus on patient engagement, care coordination, AI, healthcare analytics, and interoperability. These advanced technologies enhance our product portfolio with new services while improving clinical and patient experiences.

Requirements

An AWS Data Engineer designs, develops, and maintains scalable data solutions using AWS cloud services.
Key Responsibilities:
    • Design, build, and manage ETL (Extract, Transform, Load) pipelines using AWS services (e.g., Glue, Lambda, EMR, Redshift, S3).
    • Develop and maintain data architecture (data lakes, warehouses, databases) on AWS.
    • Implement data quality and governance solutions.
    • Automate data workflows and monitor pipeline health.
    • Ensure data security and compliance with company policies.
Required Skills:
    • Proficiency with AWS cloud services, especially data-related offerings (S3, Glue, Redshift, Athena, EMR, Kinesis, Lambda).
    • Strong SQL and Python skills.
    • Experience with ETL tools and frameworks.
    • Familiarity with data modelling and warehousing concepts.
    • Knowledge of data security, access management, and best practices in AWS.
Preferred Qualifications:
    • AWS certifications (e.g., AWS Certified Data Analytics – Speciality, AWS Certified Solutions Architect).
    • Background in software engineering or data science.

• Hands-on experience with Oracle Database and log-based Change Data Capture (CDC) replication using AWS Database Migration Service (DMS) for near real-time data ingestion.