Regular Data Engineer/ SB at Inetum

Warszawa, Pomeranian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

07 Oct, 26

Salary

0.0

Posted On

09 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Microsoft Fabric, PySpark, Azure Data Factory, Delta Lake, SQL, Azure DevOps, Data Modeling, ETL Pipelines, Data Ingestion, Data Quality Control, Metadata Management, Git Workflow, dbt, Great Expectations, English Proficiency, Polish Proficiency

Industry

IT Services and IT Consulting

Description

Opis firmy 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. Opis stanowiska 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 Kwalifikacje 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) Dodatkowe informacje 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

Responsibilities

Lead the migration of legacy SAS and Exadata environments to a modern Microsoft Fabric Data & Analytics platform. Develop data pipelines, transformation processes, and reports while ensuring data quality and governance standards.