Senior Data Engineer&Team Leader

Miejsce pracy: Praca zdalna i/lub praca w biurze (8 lokalizacji)

For our Partner, software company, hiring more than 500 employees, we are looking for Team Leader.



At least 3 years’ practical experience in Data Engineering.
At least 6 months’ experience as a team leader/mentor.
Strong experience with S3 + Athena/Presto and Redshift/Redshift Spectrum.
Hands-on experience with at least 2 of the following: AWS Glue/EMR or Kinesis/Kafka or ELK stack or Lambdas.
Experience in designing data lakes – from structuring to managing and optimization.
Knowledge of data storage formats (Parquet, ORC, AVRO, etc.).
Experience with Python and Linux and shell scripting.
Familiarity with relational databases like Oracle, PostgreSQL, MySQL.
Advanced SQL writing skills.
A strong command of written and spoken English (CEFR B2+).
It would be a plus if you have:

Knowledge of the Scrum and Agile methodologies.
Willingness to help and mentor other developers.
Experience with event architectures and message-subscribe systems like Kafka.
Experience of working with Kubernetes.
Experience in software engineering – systems design, coding principles, and best practices.
Experience in Machine Learning.

Kluczowe zadania


Leading a team of great Data Engineers, building a culture and a communication approach that is suited to the needs of the team.
Close cooperation with the Machine Learning team.
Taking part in expert calls with clients.
Providing input for client proposals.
Conducting data audits.
Creating long-term data strategies.
Designing and implementing scalable data architectures.


Perks & benefits:

PLN 14,000 – 20,000 + VAT (B2B) + 1000 PLN Leader’s bonus + 20 paid days off
or PLN 11,700 – 16,700 gross (UoP) + 1000 PLN Leader’s bonus

If you have higher expectations – specify them, we will try to consider them.

Generous private health insurance package with dental care.
Optional life insurance for you and your family.
A growth budget for your educational plan.
Masterbenefit: discounts on car leasing.
Discounts on Apple products.
Various internal initiatives: webinars, knowledge sharing sessions, internal conferences.