Mid/Senior Data Engineer (Snowflake, dbt, Airflow) w… - Jobeax
Opis oferty
Mid/Senior Data Engineer (Snowflake, dbt, Airflow) w Warszawa, Polska
C&F
ZdalniePraca z dowolnego miejsca
KontraktUmowa czasowa lub freelancing
Warszawa, Polska
Your responsibilities
Building and extending dbt models in Snowflake, following layered modeling conventions
Migrating and rebuilding legacy dbt models into the target architecture, including reverse-engineering complex, macro-heavy logic
Developing Airflow DAGs, including data quality gates that control pipeline flow
Ingesting seed and static files provided by business teams across environments, and clarifying naming, refresh cadence, and ownership
Implementing and maintaining data quality tests across all model layers
Triaging and fixing dbt test failures, pipeline failures, and bugs
Promoting code through environments via CI/CD, with PR review at each stage
Supporting Snowflake cost and performance optimization
Supporting incremental and CDC-based loads to downstream platforms
Maintaining documentation and metadata (column descriptions, data models, business terms)
Handling service requests, change requests, and incidents in a Jira-based delivery model
Communicating directly with client stakeholders, mainly technical but also business
Working closely with product owners, architects, and other teams to deliver prioritized work
Own design and migration decisions, such as mapping legacy models to target layers, orchestration and quality-gate patterns, and materialization strategy
Lead Snowflake cost and performance tuning
Review other engineers' code and guide technical standards
Represent the team in technical alignment with client and partner teams
Our requirements
Proven commercial experience as a Data Engineer (Mid: approx. 3+ years; Senior: approx. 5+ years)
Hands-on experience with Snowflake, including data modeling, roles and access, and performance optimization
Practical experience building and maintaining Airflow DAGs
Advanced SQL and solid understanding of data warehousing and dimensional modeling
Working knowledge of Python for data processing and automation
Experience with Flyway or other database schema migration tools
Experience using AI-assisted development tools in data engineering (e.g., GitHub Copilot or similar) for code generation, testing, documentation, or code analysis
Experience with Git-based workflows, PR reviews, and CI/CD (e.g., GitHub Actions)
Experience working with multiple environments and a structured release process
Experience working in a ticket-driven delivery model (e.g., Jira)
Very good command of English, both written and spoken
Strong communication skills with stakeholders: confident with technical audiences and able to explain things clearly to business audiences
A prioritization mindset and the ability to adapt quickly when priorities change, so the work stays relevant to the business
Proactiveness and a high level of independence, combined with the ability to work effectively in a larger team
Comfort working where standards and tooling are still evolving (especially important at Senior level)
Strong problem-solving, analytical, and documentation skills
Optional
Snowflake and/or dbt certifications will make your application stand out
Experience in the human pharma or animal health domain, especially commercial, CRM, or customer data
Experience migrating or refactoring legacy dbt projects
Experience with code quality tools (e.g., SonarQube)
Exposure to data governance and metadata tools (e.g., Collibra)
Experience with data integration to CRM or customer data platforms
Understanding of ITIL fundamentals and service management processes
What we offer
Learning & development opportunities – after your probation period, you’ll have access to a highly flexible and generous English language reimbursement program, along with an individual development budget to use as you see fit.
Classic benefits like private medical care, a sports card, and a preferential life insurance plan. Plus, our infamous Fruit Tuesdays and Wednesdays.
A hybrid work setup with plenty of flexibility. Delivery teams work mostly remotely. Support teams come to the office at least once a week – as an HR team, we meet every Wednesday. On other days, you decide where you work.
A bunch of non-work activities, including Office Day (a fun-filled day when employees from all over Poland gather at the office), POP UP integrations, various competitions from cooking to photography, and the chance to submit charity causes to our CF4GOOD program, which provides support to those in need.
A workplace that values people and is built on collaboration, not competition. If you’re tired of toxic work environments, you’ll finally get a chance to breathe. And if you’ve been lucky with great employers so far, we’ll do our best to keep that streak going.
... lata doświadczenia w Data Engineering / Data Warehousing., Bardzo dobra, praktyczna znajomość SQL., Bardzo dobra znajomość Python., Komercyjne doświadczenie z Snowflake., Praktyczna znajomość dbt., Doświadczenie z Apache Airflow., Bardzo dobre umiejętności w zakresie data modelling., Doświadczenie w projektowaniu i rozwijaniu ...
Gdańsk, Polska
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