Senior Data Engineer

A job that matters: Your Tasks

• Ownership of the data warehouse (DWH)
• Organise the workload for the data analytics (DA) engineers
• Requirements analysis: talk to business stakeholders to understand data product needs
• Design & implement data products (ingestion, ETL, visualization)
• Prototype and evaluate ideas with key stakeholders
• Operationalize successful prototypes
• Design data pipelines in cooperation with business stakeholders
• Implement and maintain data pipelines in AWS
• Do ad-hoc analytics for the business (using mostly Athena and/or Jupyter notebook)
• Conduct in-depth analytics in cooperation with domain experts (e.g., with firmware engineers)

An experience that matters: Your Skills

• 5+ years in the similar function area
• BSc in Computer Science or related field
• Experience designing and implementing data pipelines
• Experience in databases, data warehouses or data lakes
• Experience in data exploration
• Good software engineering skills with Python, nodejs, terraform, git, AWS (S3, Glue, Athena, Lakeformation, Lambda, SQS, Cloudwatch, Quicksight)
• Basic statistics/ML knowledge and applied skills (e.g. linear regression in Python)
• Experience with agile methodologies

A workplace that matters: Our offering

• Best opportunities in a globally operating company valuing diversity, inclusion, sustainability and mutual trust
• Attractive remuneration package
• Opportunity for flexibility with a hybrid working model
• Home office allowance
• 25 days paid annual leave
• Additional health insurance
• Employee Assistance Program (Mental Health, Legal & Financial Counselling)
• 200 BGN Food vouchers
• Public transportation card
• Optional parking space
• Multisport card
• Language training opportunity
• Employee referral program
• Brand new modern office premises in a class A business building
• Fresh fruits in the office
• Training and mentorship programs
• Access to over 15,000 LinkedIn Learning courses to assist in your professional development