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Mid-Level Data & Reporting Engineer – Data Engineering & Cloud

Krakow
Hybrid

17 640 - 21 420

PLN

(B2B)

12 700 - 15 300

PLN

brutto (Employment Contract)

C# ETL tools Google BigQuery Google Cloud Looker Studio / Data Studio Python TSQL
English
Mid-Level
Banking
Data Engineer

Unleash your data engineering expertise — shape the future of banking with innovative analytics solutions!

Kraków-based opportunity with hybrid work model.

As a Data & Reporting Engineer, you will be working for our client, a leading global bank committed to fostering a data-driven culture through groundbreaking analytics and technology. You will support the Unlock pillar of their strategy, delivering value by developing advanced data solutions to enhance customer and colleague experiences, increase revenue, and optimize risk management. This role offers a pathway for impactful career growth in the dynamic financial industry.

Your main responsibilities:

  • Develop data technology solutions using Python, TSQL, C#, and other relevant languages to support strategic initiatives.
  • Support technical leadership by evaluating and recommending data consumption engines and new technologies.
  • Create, optimize, and maintain data warehouses and big data systems to ensure data integrity and accessibility.
  • Design and implement secure, automated data pipelines and analytics processes supporting real-time and batch data flows.
  • Deliver complex reports and visualizations within Google Cloud and/or Microsoft SQL Server environments, including Looker Studio / Data Studio.
  • Collaborate with stakeholders to gather requirements, understand process logic, and refine data architecture solutions.
  • Monitor data quality, performance, and security across platforms while managing risk and solving bugs efficiently.

You're ideal for this role if you have:

  • 3+ years of experience in data engineering or related fields.
  • Proficiency in Python, TSQL, and/or C#.
  • Deep knowledge of data lifecycle management, including sourcing, ingestion, data warehousing, and cloud migration.
  • Experience working with Google BigQuery and Google Looker Studio.
  • Hands-on experience with ETL tools, data modelling, and automation of data pipelines.
  • Strong analytical, problem-solving, and stakeholder collaboration skills.

It is a strong plus if you have:

  • Experience with Qlik Sense, PowerApps, Alteryx, or Collibra.
  • Familiarity with JIRA and cloud migration projects.
  • Knowledge of APIs and feature engineering.
  • Background in data self-service automation.

Language required for the role:

  • English (Communicative level).

Eligibility to work in Europe:

  • Only candidates with an existing legal right to work in the European Union will be considered for this role.

#MAKEYourCareerBETTER

Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

Internal number #10220

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