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Regular Data Engineer / SB

Inetum inetum.com Open · verified Oct 24, 2026
Hybrid Warsaw Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Inetum. Warsaw · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityMid-level
LocationWarsaw
WorkplaceHybrid
EmploymentFull-time
PostedJul 9, 2026 · 3mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain pipelines, transformations and data models as SAS and Exadata workloads move to Microsoft Fabric
  • Move reports, dashboards, data marts and analytical workloads to the new platform, then check that results are valid
  • Work with business and technical teams to clarify needs, resolve problems and deliver data solutions
  • Put data quality, metadata, catalog and glossary processes in place, and document and test platform changes
  • Improve performance and automation, support operations, and help teams through knowledge transfer and post-launch support

What you bring

  • You hold a certification in Microsoft Fabric, the data transformation technology named for this role
  • You bring hands-on experience with Fabric and Azure engineering, including pipelines, PySpark notebooks and Delta Lake
  • You can communicate fluently in both Polish and English, at least at B2 level, in writing and conversation

Who this fits

This mid-level role suits a data engineer working on a migration from SAS and Exadata to Microsoft Fabric. The hybrid schedule calls for two office days and three home-office days, with offices in Warsaw, Lublin, Poznań, Katowice, Łódź and Rzeszów.

From the employer

Inetum Polska is part of the global Inetum Group and plays a key role in driving the digital transformation of businesses and public institutions. Operating in cities such as Warsaw, Poznan, Katowice, Lublin, Rzeszow, Lodz the company offers a wide range of IT services. Inetum Polska actively supports employee development by fully funding training, certifications, and participation in technology conferences. Additionally, the company is involved in local social initiatives, such as charitable projects and promoting an active lifestyle. It prides itself on fostering a diverse and inclusive work environment, ensuring equal opportunities for all.

Globally, Inetum operates in 19 countries and employs over 28,000 professionals. The company focuses on four key areas:

  • Consulting (Inetum Consulting): Strategic advisory services that help organizations define and implement innovative solutions.
  • Infrastructure and Application Management (Inetum Technologies): Designing and managing IT systems tailored to clients’ individual needs.
  • Software Implementation (Inetum Solutions): Deploying partner solutions from industry leaders like Microsoft, SAP, Salesforce, and ServiceNow.
  • Custom Software Development (Inetum Software): Creating unique software solutions to meet specific client needs.

With strategic partnerships with major technology giants, including Microsoft, SAP, Salesforce, and ServiceNow, Inetum delivers advanced technological solutions tailored to customer requirements. In 2023, Inetum reported revenues of €2.5 billion, underscoring its strong position in the digital services market.

Inetum distinguishes itself by offering a comprehensive range of benefits that meet the diverse needs of employees, providing flexibility, support and commitment. Here's what makes working at Inetum unique:

Flexible and hybrid work:

  • Flexible working hours.
  • Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities.

Attractive financial benefits:

  • A cafeteria system that allows employees to personalize benefits by choosing from a variety of options.
  • Generous referral bonuses, offering up to PLN6,000 for referring specialists.
  • Additional revenue sharing opportunities for initiating partnerships with new clients.

Professional development and team support:

  • Ongoing guidance from a dedicated Team Manager for each employee.
  • Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs.

Community and Well-Being:

  • Dedicated team-building budget for online and on-site team events.
  • Opportunities to participate in charitable initiatives and local sports programs.
  • A supportive and inclusive work culture with an emphasis on diversity and mutual respect.

We are launching a strategic data transformation initiative to replace our legacy SAS and Exadata-based environment with a modern Microsoft Fabric-powered Data & Analytics platform. We are seeking a skilled Data Transformation Engineer to join our team and play a key role in this transformative project. The successful candidate will be responsible for migrating data integration flows, data warehouses, reports, dashboards, data products, and advanced analytics and machine learning solutions while ensuring continuity of business operations. Additionally, the selected partner will support the transfer and enhancement of data quality processes, metadata management, and catalog/glossary capabilities. The objective is to establish a scalable, cloud-based data platform that accelerates data-driven decision-making and future innovation across the organization.

Main Tasks:

  • Participate in the implementation and configuration of the Microsoft Fabric Data & Analytics platform, supporting data integration, analytics, and reporting initiatives.
  • Develop and maintain data pipelines, transformation processes, and data models as part of the migration from SAS and Exadata environments.
  • Assist in the migration and validation of reports, dashboards, data marts, data products, and analytical workloads to the target platform.
  • Collaborate with business users and technical teams to gather requirements, troubleshoot issues, and ensure successful delivery of data solutions.
  • Support the implementation of data quality controls, metadata management, catalog, and glossary processes in accordance with governance standards.
  • Perform testing, documentation, and operational support activities to ensure platform reliability and data accuracy.
  • Contribute to performance optimization, automation, and continuous improvement of data and analytics solutions.
  • Participate in knowledge transfer activities and provide ongoing support during migration and post-go-live phases.

Project Technology:

  • Azure
  • MS Fabric
  • Fabric Dataflows Gen2
  • Data Factory pipelines
  • Notebooks (PySpark)
  • Delta Lake
  • OneLake
  • Fabric Real-Time Intelligence
  • Event Hub

General Project Experience:

  • Certification in the data transformation technology - MS Fabric

Fabric & Azure Engineering:

  • Fabric Dataflows Gen2, Data Factory pipelines, Notebooks (PySpark)
  • Delta Lake table creation, partitioning, and maintenance
  • OneLake storage management (hot/cold tier data movement)

Data Ingestion Patterns:

  • Batch ingestion (full load, incremental, CDC)
  • Real-time ingestion (Fabric Real-Time Intelligence, Event Hub)
  • API and webhook ingestion

Transformation Engineering:

  • PySpark transformation development (Bronze → Silver → Gold)
  • SQL transformation logic (Fabric Warehouse, dbt)
  • Data cleansing and standardisation logic

DevOps & Quality:

  • Azure DevOps Git workflow (feature branch, PR, merge)
  • Automated unit test development (dbt tests, Great Expectations)
  • Pipeline monitoring and alerting configuration
  • Data lineage tag propagation (Purview auto-lineage)

Hybrid work model: 2 days from the office, 3 days of home office.

Office locations: Warszawa, Lublin, Poznań, Katowice, Łódz, Rzeszów.

Fluent communication skills in English and Polish (minimum B2 level), both written and spoken.

We hereby inform you that Inetum Polska sp. z o.o. has implemented an internal reporting (whistleblowing) procedure. The content of the procedure and the possibility to submit an internal report are available at:

https://inetum.whispli.com/speakup?locale=pl

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.