Senior Data Engineer H/F - 75

Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation.

As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics.

Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise modern businesses. To achieve this we employ the best, most dedicated talent to deliver outstanding technology solutions to both our local and global clients.

BE part of our Hitachi family

We place value on collaboration, open communication, and transparency. We emphasise the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don´t take our Word for IT - Have a look at what our employees are saying :

What to expect, your benefits

Hitachi Solutions offers competitive compensation packages (incl. bonuses), pension and benefits plans. Work/Life balance is an essential part of our culture, and all our employees are home workers, although you will BE expected to come into our or customer's offices regularly. We operate a comprehensive career development programme that includes mentoring and training plans to ensure that you will continue to grow and develop your career at Hitachi.About the Role

We are looking for a highly skilled and client-orientedSenior Data Engineerwith deep expertise inApache Spark, Azure Synapse Analytics, Databricks, andMicrosoft Fabric. You will BE responsible for designing, building, and optimizing end-to-end data pipelines and platforms in the cloud. You will work with cross-functional teams including architects, data scientists, and business stakeholders to ensure our solutions are robust, scalable, and business-aligned.

Key Responsibilities
- Design and implement modern data platform solutions usingAzure,Databricks, Synapse, andMicrosoft Fabric.
- Build scalable, high-performance data pipelines usingSpark.
- Implement data ingestion from various sources, including structured, semi-structured, and unstructured data.
- Define and implement data models and transformation logic to support analytics and reporting use cases.
- Develop and manage data integration and orchestration usingAzure Data FactoryorMicrosoft Fabric Data Pipelines.
- Ensure data quality, integrity, lineage, and governance using best practices and Azure-native services.
- Collaborate with architects and clients to define solution architecture and implementation roadmaps.
- Mentor junior team members and contribute to internal knowledge sharing.
- Participate in pre-sales, proposal writing, and client workshops to shape future engagements.
- Continuously explore new tools and technologies to stay at the forefront of the data engineering domain.