Najnowsze informacje o pracy w Webellian Sp. z o.o. na stanowisko Senior Data Engineer. If the Senior Data Engineer wolny etat w Mazowieckie odpowiada Twoim kwalifikacjom, prześlij swoje aktualne CV bezpośrednio przez portal Jobkos.
Pamiętaj, że proces rekrutacji wymaga spełnienia określonych wymogów firmy. Mamy nadzieję, że oferta pracy w Webellian Sp. z o.o. na stanowisko Senior Data Engineer poniżej odpowiada Twoim kwalifikacjom.
Senior Data EngineerMiejsce pracy: WarszawaTechnologies we useExpected
SQL
PostgreSQL
Delta Lake
PySpark
Databricks Workflows
Unity Catalog
Python
Apache Airflow
Kafka
Microsoft Azure
Claude Code
Operating system
Windows
About the project
As a Senior Data Engineer within Advanced Analytics, you will design, build, and operate the data infrastructure that powers AI-enabled solutions at global scale. You will own the full data pipeline lifecycle — from ingestion and transformation through to serving data reliably to ML models, AI agents, and analytical consumers. You will work at the intersection of PostgreSQL-based operational data systems and Databricks-based lakehouse pipelines, ensuring data flows are robust, well-governed, and optimised for AI workloads.
Your responsibilities
Design and build scalable data pipelines for ingestion, transformation, and serving of structured and unstructured data — supporting both batch and real-time AI workloads.
Develop and maintain Databricks-based data processing workflows: Delta Lake table management, PySpark transformations, notebook orchestration, and Unity Catalog governance.
Architect and optimise PostgreSQL data models: schema design, indexing strategies, partitioning, query performance tuning, and integration patterns for AI service consumption.
Build and maintain data orchestration workflows using Apache Airflow, Databricks Workflows, or equivalent — ensuring reliable scheduling, dependency management, and failure recovery.
Implement data quality frameworks: validation rules, anomaly detection, data contracts, and automated alerting on pipeline health and data freshness.
Design and manage feature engineering pipelines: transforming raw data into ML-ready feature sets, integrating with feature stores, and versioning feature definitions.
Own data integration patterns between operational PostgreSQL databases and the Databricks lakehouse: CDC (Change Data Capture), event-driven ingestion via Kafka, and batch export strategies.
Implement data governance standards: lineage tracking, cataloguing, access control, PII handling, data retention policies, and audit logging.
Collaborate with ML Engineers to design and deliver data pipelines supporting model training, batch inference, and real-time feature serving.
Monitor and operate data infrastructure: pipeline observability dashboards, SLA tracking, incident response, and root-cause analysis for data issues.
Champion Claude Code as an active daily tool for pipeline development, SQL generation, data exploration scripting, and documentation.
Our requirements
6+ years of professional data engineering experience, with a strong track record of delivering production data pipelines at scale.
Expert-level SQL and strong PostgreSQL expertise: advanced query optimisation, schema design, indexing, partitioning, and understanding of MVCC and connection management.
Strong Databricks experience: Delta Lake, PySpark, Databricks Workflows, Unity Catalog, and performance tuning of large-scale Spark Praca.
Proficiency in Python for data pipeline development: pandas, PySpark, data validation libraries (Great Expectations or equivalent), and scripting for automation.
Experience with data orchestration frameworks: Apache Airflow, Databricks Workflows, or equivalent DAG-based scheduling tools.
Solid understanding of data integration patterns: CDC with Debezium or equivalent, Kafka-based event streaming, and batch ingestion strategies.
Hands-on experience with data lakehouse architecture: medallion architecture (Bronze/Silver/Gold), Delta Lake ACID transactions, and table optimisation.
Experience implementing data quality frameworks and data contracts in production pipelines.
Familiarity with Azure data services: Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, or equivalent cloud-native data tooling.
Hands-on proficiency with Claude Code: using it daily for pipeline development, SQL authoring, data exploration, and documentation tasks.
Strong communication skills: able to collaborate with data consumers (ML Engineers, analysts, product teams) to understand requirements and deliver reliable data products.
This is how we organize our workThis is how we work
agile
scrum
This is how we work on a project
issue tracking tools
testing environments
What we offer
Contract under Polish law: B2B or Umowa o Pracę
Benefits such as private medical care, group insurance, Multisport card
English classes available
Hybrid work (at least 1 day/week on-site) in Warsaw (Mokotów)
Opportunity to work with excellent professionals
High standards of work and focus on the quality of code
New technologies in use
Continuously learning and growth
International team
Pinball, PlayStation & much more (on-site)
Benefits
sharing the costs of sports activities
private medical care
life insurance
remote work opportunities
fruits
video games at work
coffee / tea
drinks
parking space for employees
leisure zone
Pinball, PlayStation & much more
English classes
Recruitment stages
A quick phone call with our Recruiter.
Online technical interview, testing your skills.
II face-to-face interview with your potential supervisor.
️Feedback.
Join a growing team of dedicated professionals! We love to pass on the knowledge to grow excellence, speak our minds without playing politics, and just enjoy hanging around together. If you share our passions - we want to meet you! So go ahead and apply.
Webellian Sp. z o.o.
Webellian is a well-established Digital transformation and IT consulting Firma committed to creating a positive impact for our clients. We are driven by shared values, strong principles, and a passion for innovative and disruptive technologies. We are a community of truly passionate engineers and senior advisors who work with our clients across industries, playing a deep and meaningful role in accelerating and realizing their vision and strategy.
Please include the following statement: I hereby authorize Webellian Polska Sp. z o.o. to the process personal data provided in this document for realising the recruitment process pursuant to the Personal Data Protection Act of 10 May 2018 (Journal of Laws 2018, item 1000) and in agreement with Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation).
Szczegóły oferty:
Firma: Webellian Sp. z o.o.
Stanowisko: Senior Data Engineer
Miejsce pracy: Mazowieckie
Kraj: PL
Jak złożyć aplikację:
Po zapoznaniu się z kryteriami i wymaganiami opisanymi w informacjach o pracy Senior Data Engineer at the office Mazowieckie powyżej, niezwłocznie przygotuj dokumenty aplikacyjne, takie jak list motywacyjny, CV, kopię dyplomu oraz inne załączniki. Wyślij aplikację, klikając 'Następna strona' poniżej.
TO OGŁOSZENIE WYGASŁO (ponad 30 dni temu).
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