Data Engineer

Talanto

Województwo pomorskie

Hybrid

PLN 89,000 - 234,000

Full time

4 days ago
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Benefits offered by this job

Private medical care
Life insurance
Parking space
Holiday funds
Multisport card co-financing
Flexible working hours

Job summary

Talanto is seeking a data engineer to join a team working on one of the largest Data Warehouse systems in the Lufthansa Group. You will work in Agile teams (3–4 people), focusing on SQL, ETL, Big Data, and Cloud with Databricks and PySpark. Role requires office presence in Gdańsk at least 2 days a week.

The position offers an international environment with opportunities for growth and a compensation package aligned with seniority, including a competitive PLN salary.

Qualifications

  • At least 2 years of experience in databases and ETL.
  • Strong SQL knowledge (procedural languages such as T-SQL, PL/SQL).
  • Experience with Databricks.
  • Experience with version control tools.

Responsibilities

  • Analyzing business requirements and mapping them to the existing data model.
  • Identifying new data sources.
  • Building proof-of-concepts in cooperation with business teams.
  • Planning and estimating tasks.
  • Developing and implementing new functionalities.
  • Optimizing existing processes and analyzing exceptional cases.
  • Creating and maintaining data import/export processes.
  • Preparing documentation and continuously learning business aspects.

Skills

SQL
ETL
Databricks
Version control
English (B2/C1)
Polish (B2/C1)
Analytical mindset
Team player
Office in Gdańsk

Tools

Unix/Linux
Teradata
Python basics
Git

Job description

8,000 – 21,000 PLN

About the project

You will join a team working on one of the largest Data Warehouse systems in the Lufthansa Group. Our platform collects and processes data about customers, tickets, journeys, B2B agreements, loyalty programs, and flight schedules.
We work in Agile methodologies in small teams (3–4 people), with a strong focus on collaboration and growth.This is a great opportunity to work in an international data environment and develop your skills in SQL, ETL, Big Data, and Cloud (Databricks, PySpark).

Who are you?
  • At least 2 years of experience in databases and ETL.
  • Strong SQL knowledge (procedural database languages such as T-SQL, PL/SQL).
  • Experience with Databricks.
  • Experience with version control tools.
  • Good command of English and Polish (B2/C1).
  • Analytical mindset and team spirit.
  • Readiness to work from the office in Gdańsk min. 2 days a week
What do we welcome?
  • Knowledge of Unix/Linux systems.
  • Experience with Teradata.
  • Basics of Python (NumPy, Pandas).
  • Understanding of Agile/Scrum.
In this role, you will be responsible for:
  • Analyzing business requirements and mapping them to the existing data model.
  • Identifying new data sources.
  • Building proof-of-concepts in cooperation with business teams.
  • Planning and estimating tasks.
  • Developing and implementing new functionalities.
  • Optimizing existing processes and analyzing exceptional cases.
  • Creating and maintaining data import/export processes.
  • Preparing documentation and continuously learning business aspects.
What do we offer?
  • Work on acutting-edge integration platformin acloud-native environment.
  • Aninternational working environmentwith a culture that fosters development.
  • Individual career pathand opportunities for professional growth.
  • Employment contract, salary in the range of:
  • - 8 000 - 16 000 zł gross for regular level
  • - 10 000 - 21 000 zł gross for senior level
  • Flexible working time and place adjusted to employee’s needs. Possibility of starting your workday between 07:00 and 11:00.
  • Support for your passion for sports within the local activity group and co-financing Multisport cards.
  • Private medical care for employees and their family members.
  • Life insurance.
  • Parking space for employees.
  • Holiday funds.
  • Sharing the costs of holidays for kids.
  • Sharing the commuting costs.
  • Modern office in Oliwa – great location and comfortable workspace.
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