SAP Specialist responsible for designing, developing, and executing data migration objects in Hydro’s SAPEX program. Ensuring successful ETL processes and maintaining data quality.
About the role
- Data Engineer building and maintaining Azure data platforms for Hultafors Group's analytics and reporting needs. Collaborating across various business functions in a cloud environment.
Responsibilities
- Build and run our central Data Foundation platform, the single source of truth for the organization
- Work mainly in Azure with a lakehouse architecture (Azure Data Lake, Data Factory, Databricks) to collect, transform and consolidate data from ERPs, CRMs and other systems
- Enable analytics and Power BI reporting for Finance, Sales, Logistics, Sustainability, Management and other functions
- Design, develop and maintain data pipelines and models in our Data Foundation platform
- Build and optimize ingestion in Azure Data Factory from ERPs, CRMs and internal/external sources
- Develop and maintain transformation logic in Databricks (SQL and Python) and implement scalable lakehouse / dimensional models
- Profile, map and validate data to ensure high data quality and consistency for downstream analytics
- Monitor and operate pipelines and platform components (scheduling, performance, availability, error handling) according to SLAs
- Troubleshoot and resolve incidents, perform root cause analysis and implement preventative improvements
- Act as a 2nd/3rd line expert for data platform and pipeline issues
- Contribute to architecture, standards, reusable components and best practices
- Collaborate with business stakeholders, application owners, BI developers, data analysts, architects and vendors to translate requirements into data solutions
- Create and maintain technical documentation for pipelines, datasets and models
Requirements
- Bachelor’s degree in computer science, Information Systems, Engineering, Mathematics or similar, or equivalent experience
- 3–5+ years as Data Engineer, BI/Data Warehouse Developer or similar
- Hands-on experience with Azure Data Lake, Azure Data Factory and Databricks
- Strong skills in building and operating batch and/or streaming data pipelines in a lakehouse or data warehouse
- Solid SQL and Python skills for data engineering, ideally in Databricks
- Good understanding of relational/analytical databases and performance optimization
- Knowledge of data governance, data quality, security and handling of sensitive data
- Experience with monitoring, logging, alerting and ITSM processes (incident/problem/change management)
- Familiarity with CI/CD, version control and automated testing for data pipelines
Benefits
- Competitive salary
- Flexible working hours
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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