Senior Data Engineer Consultant

4 tygodni temu

Warsaw, Polska A4BEE Sp. z o.o. Pełny etat

technologies-expected :

- SQL
- Python
- dbt
- Airflow
- Spark
- Databricks
- Snowflake
- BigQuery
- Redshift

technologies-optional :

- AWS
- Microsoft Azure
- Google Cloud Platform

about-project :

- We are looking for a skilled and proactive Data Engineer Consultant (5+ years of experience) to join our team.
- This is not your typical “just give me the specs” type of role. We’re looking for someone with a consulting mindset — someone who’s curious, self-driven, and comfortable working in situations where business needs may be unclear or evolving. You should enjoy digging into problems, asking the right questions, and proposing pragmatic, scalable data solutions — even when the starting point is fuzzy. We’re also looking for someone who’s excited about explaining complex concepts in a simple, approachable way, and who enjoys collaborating with and supporting less experienced team members.
- Technology is the heart of everything we do, but we are much more than that.
- Enjoy a supportive environment where you can grow, thrive, and work your way.

responsibilities :

- Design, build, and maintain scalable data pipelines (ETL/ELT)
- Collaborate with business and analytics stakeholders to identify needs and translate them into data solutions
- Model and transform data to support analytics, reporting, and machine learning use cases
- Work autonomously, organize your own work, and proactively communicate progress and blockers
- Drive discussions to clarify business goals and data requirements
- Help shape the data engineering culture and best practices in our team
- Collaborate with the team, actively supporting others in understanding data engineering concepts and building end-to-end solutions together

requirements-expected :

- 5+ years of experience in Data Engineering or similar role
- Proficiency in SQL and at least one programming language — ideally Python
- Experience with cloud-based data platforms (e.g., AWS, GCP, or Azure)
- Hands-on experience with modern data stack tools such as:
- dbt (data modeling and transformation)
- Airflow or similar orchestration tools
- Spark or similar distributed data processing tool
- Databricks/Snowflake, BigQuery, Redshift, or other cloud data warehouses
- Hands-on experience with open source data engineering tools
- Experience in distributed data storage architectural design
- Familiar with Kubernetes eco-system is nice to have
- Familiarity with version control and CI/CD in a data context
- Experience with monitoring, testing, and documenting data pipelines

offered :

- Co-financed private medical care and MultiSport card
- Flexible work setup with self-management, focus time, and offices in great locations in Warsaw and Wroclaw
- Knowledge-sharing culture with an internal library, regular learning sessions, and 4 hours/month for self-development
- Career growth through an individual path, external workshops, certifications, and our own Tech_hive Entrepreneurship Academy
- A people-first atmosphere with weekly breakfasts, mentoring, team retreats, birthday celebrations, and servant leadership culture

benefits :

- sharing the costs of sports activities
- private medical care
- sharing the costs of professional training & courses
- life insurance
- flexible working time
- integration events
- Paid time for self-development (4h/month)

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