3 months ago
Sofia, BulgariaMid Level
Responsibilities
- Define and implement on-premise and cloud architectures for data warehouses, data lakes, and data platforms.
- Build data warehouses, operational ETL/ELT pipelines, and relational and dimensional data models.
- Perform assessments of client data capabilities and recommend improvements.
- Create technology blueprints and advise clients on technology options.
- Translate functional and non-functional business requirements into compliant technical solutions.
- Identify risks and mitigations for data programs and support transitions to modern cloud infrastructure.
- Develop data governance principles covering Master Data Management, Data Lineage, and Data Security.
- Advise clients while contributing hands-on to technical delivery and helping develop team capabilities.
Requirements
- Experience designing and maintaining robust data pipelines and architectures.
- Experience with AWS, GCP, or Azure and big data platforms such as Spark, Hive, or Databricks.
- Working knowledge of relational and NoSQL database technologies.
- Ability to understand and design CI/CD pipelines.
- Competence in SQL and at least one modern programming language such as Python.
- Bachelor’s degree in any discipline.
- Ability to travel internationally for up to 30% of the time and work within the EU and UK.
- Experience with business intelligence visualization tools is beneficial but not required.
- A master’s degree in computer science, engineering, or another STEM discipline is helpful but not essential.
Benefits
- Five weeks of annual leave available at the start of each year.
- An additional two weeks of paid leave after five years of continuous service.
- Hybrid working and flexibility around unpaid leave.
- Three corporate responsibility days per year.
- Annual wellbeing fund.
- Participation in the Baringa Group Profit Share Scheme.
- International travel of up to 30% may be required.
Tech Stack
Categories
Data Engineering
About Baringa
Baringa is a global management consulting partnership that advises enterprises and public-sector clients on strategy, operating-model change, and data- and technology-enabled transformation. It provides fee-based consulting across energy and resources, financial services, technology, media and telecoms, consumer products, government, and climate risk. Founded in 2000 and headquartered in London, it operates internationally across the UK, Europe, North America, Asia, and Australia.