Data Engineers (Mid & Senior) — Krakow (Hybrid) Are you looking to work on modern, high-throughput data platforms without the legacy drag? We are scaling a dedicated Data Engineering team in Krakow to drive a major enterprise cloud consolidation onto a modern GCP & Medallion (Bronze/Silver/Gold) architecture. If you thrive on handling genuinely complex data pipelines, event streaming, and laying the pipeline foundation for future ML & AI workloads, this is for you. What you’ll be doing: Pipeline Engineering: Building & optimizing batch and real-time streams on GCP (BigQuery, Cloud Composer/Airflow, Cloud Run) and Kafka. Modern Transformation & Architecture: Implementing dbt models and Medallion patterns to enable trusted self-service analytics across global business units. Data Quality & Governance: Setting up data contracts, lineage tracking, and observability tools in a high-scale environment. AI & ML Readiness: Supporting feature engineering, pipeline reproducibility, and freshness guarantees for Data Science teams. What we’re looking for: Strong hands-on experience with Python, SQL, and production GCP data tools. Solid background in Apache Kafka (or similar streaming tech) for event-driven ingestion. Experience with dbt and Medallion architecture patterns. Quality-first mindset: observability, data contracts, and SLO monitoring. Comfort working in a high-scale, structured/regulated environment. Why consider this role? Location: Krakow (Hybrid – 3 days in a modern office / 2 days remote). Environment: Direct impact on central data platforms with robust resources and engineering discipline. Comprehensive Perks Package: Competitive bonus, company share plans, Medicover (family/partner), Generali life insurance, Multisport/Multikafeteria, home office setup reimbursement, +3 extra days off (Birthday & volunteering), and continuous learning access (LinkedIn Learning, leadership mentorship).
... Development: Cursor, Claude Code, ChatGPT Enterprise - Future direction: agentic AI systems, LangChain, Azure OpenAI integration What else you should know: - Team: Data Architecture Lead, Data Engineers, DataOps Engineers, Backend Engineer, Product Owner, collaboration with Frontend Engineers and Data Science and AI Engineers ...
... insights, Client Interaction: Work closely with clients to understand their business needs and technical requirements. Translate these requirements into effective data engineering solutions.] Requirements: Python, Java, AWS, Azure, SQL, NoSQL, Big data, Spark, Kafka, Flink, Docker, Kubernetes, DevOps, CI/CD, Databricks Tools: ...
... częściej,, budżet projektu: do 160 PLN/h + VAT, w zależności od doświadczenia oraz zakresu świadczonych usług. minimum 4 lata doświadczenia w realizacji usług w roli Data Engineer,, doświadczenie w projektowaniu i modelowaniu struktur danych na potrzeby hurtowni danych, Data Lake oraz rozwiązań Real-Time lub Near Real-Time,, doświadczenie ...
... Development: Cursor, Claude Code, ChatGPT Enterprise - Future direction: agentic AI systems, LangChain, Azure OpenAI integration What else you should know: - Team: Data Architecture Lead, Data Engineers, DataOps Engineers, Backend Engineer, Product Owner, collaboration with Frontend Engineers and Data Science and AI Engineers ...
... provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for: Data Engineer Offer: - Private medical care - Co-financing for the sports card - Constant support of dedicated consultant - Employee referral program ,[Working with ...
... Experience in data engineering, data science, or related field. Proficiency with data architecture and data processing tools. Certifications: Azure Associate Data Engineer (DP-203), Databricks Professional Data Engineer, Apache Spark Developer Associate, Professional Data Engineer. Experience with Power BI, DAX, and Tabular ...
Job Description: Data Engineer, LDWH Migration Programme Level: Senior / Mid-Senior Main Responsibilities: Develop and maintain data pipelines using Azure Databricks. Implement ETL processes, ensuring data quality and integrity. Read and comprehend complex SQL stored procedures. Translate architecture direction into engineering ...
... połączeń z systemami poza ekosystem CRM • implementacja mechanizmów kontroli jakości oraz walidacji danych Wymagania • Minimum 4-6 lat doświadczenia na stanowisku Data Engineer, preferencyjnie w sektorze o dużej skali danych • doświadczenie w projektowaniu i modelowaniu struktur danych (hurtownie danych, DataLake-ów) na potrzeby ...
... roli Data Engineer lub podobnej. Doświadczenie komercyjne w pracy w środowisku AWS oraz technologiami Spark, Python i SQL. Praktyczna znajomość architektury Data Mesh oraz rozwiązań do przetwarzania dużych zbiorów danych. Doświadczenie w budowie skalowalnych i wysokowydajnych rozwiązań data engineeringowych w środowisku ...
The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by a wide range of stakeholders in the marketing domain, and create frameworks and tooling used by all data and analytics engineering teams. In this role, ...
Konsultant wdrożeniowiec o profilu Data Engineer to specjalista, który łączy zaawansowane kompetencje techniczne z umiejętnością analizy danych i podstawową wiedzą z zakresu Data Science. Odpowiada za projektowanie, wdrażanie oraz utrzymanie nowoczesnych rozwiązań w obszarze Big Data, architektury danych i platform analitycznych, ...
... in Python. Requirements: Higher education in Computer Science, Mathematics / Statistics, Telecommunications or related. Ability to work with large amounts of data in an operational environment. Experience in data engineering for AI/ML solutions hosted on-prem or in the cloud (preferred GCP). Experience in Data Warehousing ...
... diverse sources, ensuring efficiency and scalability., Collaborate with Data Science teams on Machine Learning projects, including text/image analysis, feature engineering, and predictive model deployment., Design and manage complex data transformations using Databricks, DBT, and Apache Airflow, ensuring data integrity and ...
... diverse sources, ensuring efficiency and scalability., Collaborate with Data Science teams on Machine Learning projects, including text/image analysis, feature engineering, and predictive model deployment., Design and manage complex data transformations using Databricks, DBT, and Apache Airflow, ensuring data integrity and ...
... structures. - Performance: Practical experience optimizing data processing, application performance, and database queries. - Data Migration: Experience with data migration, transformation, or large-scale data movement. - Education: University degree in Computer Science, Software Engineering, or another relevant technical ...
... merit. • Competence in developing and maintaining API’s is considered a large merit. We are looking for an experienced Data Engineer professional to join our Data Product Team within the MDM unit. You will be responsible for provisioning data from our master data customer and product systems. Requirements: Python, Databricks, ...
... and Software Engineering - Experience with access management / administration platforms - Experience in the automotive or other large enterprise environment Data Engineer & .NET 100% remote | Poland We are looking for an experienced Data Engineer with software engineering skills to join a team working on a strategic reporting ...
... performance tuning - Experience with data integration or ETL processes - Knowledge of data quality principles - Experience working in Agile teams - Understanding of data ingestion pipelines What will you do? You will join a team responsible for onboarding and integrating new data feeds from upstream systems into internal source ...
... for data or ML services. - Strong testing practices, including TDD and unit/integration tests for Spark and Airflow. - Knowledge of Scala for high-performance data processing. Data Engineer We’re looking for an experienced Data Engineer to build, scale, optimize, and maintain reliable data platforms. You’ll work on real-time ...