Data Analytics Engineer

Poland

Actively hiring, first seen by us 8 days ago

Pay: Pay not listed
Work setting: Hybrid — work setting source
Our team supports Nokia's Mobile Infrastructure (MI) business segment. We manage the MI portfolio of IT tools and applications, including tool governance and coordination with corporate IT. We also develop and maintain automated MI metrics solutions, using business data to build Power BI dashboards and reports. With team members in Finland, Romania, Poland, and India, we bring a multinational perspective to MI and work across an end-to-end data analytics process, using AI tools to improve efficiency. This is a hybrid role, with 2 days per week working from the Wrocław office. Own the end-to-end development and day-to-day operation of a business-critical data platform.
Read the full posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Develop and maintain the central SQL database, data models and calculations
Build and maintain automated data pipelines across multiple enterprise sources
Provide documented, trusted datasets for Power BI and business users
Maintain data quality controls, traceability, access management and versioning

From the employer’s posting

Develop and maintain the central SQL database, including data models, calculations, consolidation logic, and integrations

Build and maintain automated integrations and data pipelines across multiple enterprise data sources

Provide trusted, well-documented datasets for Power BI and other business users

Maintain data quality controls, traceability, access management, and version management

What you’ll bring

All qualifications

Core experience

3+ years of SQL, including database development, tuning and modeling
2+ years building and maintaining data pipelines and integrations
2+ years of hands-on Python for automation and data validation
2+ years of Power BI experience with governed semantic layers
Understanding of data governance and auditable, regulated reporting

Qualification wording

Minimum 3 years of SQL experience

Minimum 2 years of experience building and maintaining data pipelines and integrations

plus minimum 2 years of hands-on Python experience for automation, data validation, reconciliation, and operational tooling

Minimum 2 years of Power BI experience, with a focus on governed semantic layers

Understanding of data governance in a business context

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Posting record

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Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 27, 20268 days ago
Recorded sightings: 21
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Python
SQL
Azure
Power BI

Where the posting names them

- Minimum 3 years of SQL experience, including database development and administration, performance tuning, data processing and modeling (relational and dimensional), optimized queries, and database-level transformations and calculations. - Minimum 2 years of experience building and maintaining data pipelines and integrations, plus minimum 2 years of hands-on Python experience for automation, data validation, reconciliation, and operational tooling. Azure services (e.g., Azure SQL Database, Azure Data Factory, Logic Apps) are a plus; familiarity with Blob Storage and SharePoint sources is valuable. - Minimum 2 years of Power BI experience, with a focus on governed semantic layers, reliable datasets, and documented metrics rather than report development alone.

- Own the end-to-end development and day-to-day operation of a business-critical data platform. - Develop and maintain the central SQL database, including data models, calculations, consolidation logic, and integrations to ensure consistent figures across sustainability and related business use cases. - Build and maintain automated integrations and data pipelines across multiple enterprise data sources, including monitoring, performance optimization, troubleshooting, and failure handling.

- Continuously improve the platform, technical documentation, operational practices, automation, and data quality. - Minimum 3 years of SQL experience, including database development and administration, performance tuning, data processing and modeling (relational and dimensional), optimized queries, and database-level transformations and calculations. - Minimum 2 years of experience building and maintaining data pipelines and integrations, plus minimum 2 years of hands-on Python experience for automation, data validation, reconciliation, and operational tooling. Azure services (e.g., Azure SQL Database, Azure Data Factory, Logic Apps) are a plus; familiarity with Blob Storage and SharePoint sources is valuable.

Our team supports Nokia's Mobile Infrastructure (MI) business segment. We manage the MI portfolio of IT tools and applications, including tool governance and coordination with corporate IT. We also develop and maintain automated MI metrics solutions, using business data to build Power BI dashboards and reports. With team members in Finland, Romania, Poland, and India, we bring a multinational perspective to MI and work across an end-to-end data analytics process, using AI tools to improve efficiency. This is a hybrid role, with 2 days per week working from the Wrocław office.

- Build and maintain automated integrations and data pipelines across multiple enterprise data sources, including monitoring, performance optimization, troubleshooting, and failure handling. - Provide trusted, well-documented datasets for Power BI and other business users, with clear data lineage, definitions, calculation rules, and alignment with business data and process owners. - Maintain data quality controls, traceability, access management, and version management to support accurate and auditable reporting.

- Minimum 2 years of experience building and maintaining data pipelines and integrations, plus minimum 2 years of hands-on Python experience for automation, data validation, reconciliation, and operational tooling. Azure services (e.g., Azure SQL Database, Azure Data Factory, Logic Apps) are a plus; familiarity with Blob Storage and SharePoint sources is valuable. - Minimum 2 years of Power BI experience, with a focus on governed semantic layers, reliable datasets, and documented metrics rather than report development alone. - Understanding of data governance in a business context, including data definitions, ownership, access restrictions, auditability, traceability, and controlled publication of figures for reporting cycles.

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Job description

View original posting ↗

Our team supports Nokia's Mobile Infrastructure (MI) business segment. We manage the MI portfolio of IT tools and applications, including tool governance and coordination with corporate IT. We also develop and maintain automated MI metrics solutions, using business data to build Power BI dashboards and reports. With team members in Finland, Romania, Poland, and India, we bring a multinational perspective to MI and work across an end-to-end data analytics process, using AI tools to improve efficiency.

This is a hybrid role, with 2 days per week working from the Wrocław office.

Own the end-to-end development and day-to-day operation of a business-critical data platform.
Develop and maintain the central SQL database, including data models, calculations, consolidation logic, and integrations to ensure consistent figures across sustainability and related business use cases.
Build and maintain automated integrations and data pipelines across multiple enterprise data sources, including monitoring, performance optimization, troubleshooting, and failure handling.
Provide trusted, well-documented datasets for Power BI and other business users, with clear data lineage, definitions, calculation rules, and alignment with business data and process owners.
Maintain data quality controls, traceability, access management, and version management to support accurate and auditable reporting.
Work closely with business and technical stakeholders to understand processes, data definitions, calculation rules, and reporting requirements, translating them into reliable, maintainable, and increasingly automated solutions.
Continuously improve the platform, technical documentation, operational practices, automation, and data quality.

Minimum 3 years of SQL experience, including database development and administration, performance tuning, data processing and modeling (relational and dimensional), optimized queries, and database-level transformations and calculations.
Minimum 2 years of experience building and maintaining data pipelines and integrations, plus minimum 2 years of hands-on Python experience for automation, data validation, reconciliation, and operational tooling. Azure services (e.g., Azure SQL Database, Azure Data Factory, Logic Apps) are a plus; familiarity with Blob Storage and SharePoint sources is valuable.
Minimum 2 years of Power BI experience, with a focus on governed semantic layers, reliable datasets, and documented metrics rather than report development alone.
Understanding of data governance in a business context, including data definitions, ownership, access restrictions, auditability, traceability, and controlled publication of figures for reporting cycles.
Business understanding or experience in sustainability, product, operational data, or similar regulated reporting domains, with the ability to work with mandatory reporting requirements, investigate discrepancies across data sources, and explain how reported figures are calculated.
Strong analytical and structured working style, with attention to accuracy and reproducibility. Ability to work independently, take end-to-end ownership, communicate clearly with business and technical stakeholders, and continuously improve automation, documentation, and maintainability while balancing agile delivery with appropriate reporting controls.

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