Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.
About the role
- Data Engineer designing and implementing data foundations for automation and AI solutions at RHI Magnesita. Collaborating with technical experts and ensuring data quality with occasional project-based travel.
Responsibilities
- Designing, building, and maintaining data pipelines and ETL processes (SQL, Python) with Databricks
- Collaborating with technical experts, such as data and AI engineers, product owners and UX designers to ensure your data models seamlessly feed into the overall solution
- Ensuring data quality, governance, privacy, consistency, and usability across systems
- Collaborating with colleagues on automation and analytics solutions by providing resilient and well-structured data foundations
Requirements
- Bachelor’s or master’s degree in business informatics, computer science, data analytics, or any related field
- Few years of experience in ETL processes and data modeling
- Proficient in SQL, Python, and database design
- Solid understanding of data warehousing and ERP structures (SAP, o9)
- Languages: English – proficient/fluent
- Good to have: Knowledge of API integration (YAML, JSON), automation tools (Power Automate, UI Path, n8n), visualization tools (Power BI), and AI advancements
Benefits
- A permanent contract
- Flexible working hours for a healthy work-life balance and the possibility of up to 85% home office
- In-house training programs and unlimited access to LinkedIn Learning
- Private medical insurance
- Meal allowance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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