Senior Data Engineer - AWS, Python, Airflow

We are looking for a Data Engineer to join our team and work on taking our data engineering to the next level.

As a Data Engineer, you will be responsible for designing, developing and maintaining our pipelines to ingest and process data; working alongside BI and Data analysts. You will actively participate in the development of our data platform and assist the team in creating new data pipelines, ensuring the highest quality of data delivered.

The impact you will have

• Work on data extraction architectures and infrastructure for data sourcing

• Find ways to merge newly discovered data with existing data

• Identify possibilities to automate the processes where possible

• Create and maintain optimal data pipeline architectures

• Assemble complex data sets that meet the functional requirements

• Work with cross-functional teams to assist with related technical issues

• Ensure the safety and integrity of our data across geographic boundaries

• Actively participate in planning, stand-ups, and retrospective meetings

Qualifications

What we look for

• At least 3 years of experience working in data engineering domain

• Good knowledge of data ETL and processing techniques

• Proficient in working with relational databases (such as PostgreSQL, MySQL etc) and understanding of relational storage concepts, with the ability to write and optimize SQL queries.

• Experience with Python and Apache Airflow

• Experience working with some services in data ecosystem of Amazon Web Service

• Organised and structured working process

• Able to agree to and deliver to realistic deadlines

• Excellent interpersonal and relational skills

• Strong agile mindset, able to iterate fast and give early feedback

• Desire and eagerness to contribute to the success of the company and grow along with it

• Excellent communication skills in verbal and written English

• Willingness to work based on a full-time employment contract (UoP) only

• Willingness to come to one of our offices in Kraków, Warszawa or Gdańsk twice a week

Bonus points for

• Experience building with Docker and orchestrating with Kubernetes

• Experience working with SSAS and SSIS with SQL Server

• Experience working with streaming technologies

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;  

• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;

• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;

• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;

• Health: Global internal wellbeing programme, access to wellbeing apps;

• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.