Data Engineer - Junior/Mid/Senior

Technologies we use

Your responsibilities

• Contribute to cutting-edge AI initiatives by applying your creativity, critical thinking, and analytical skills.
• Design and implement scalable data pipelines using cloud, generative, and agentic AI technologies.
• Work in agile, cross-functional teams combining technical, business, and data science expertise.
• Your accountability, responsibility, and autonomy will grow with your experience and seniority - we are looking for specialists with various experience levels.

Our requirements

• Experience Requirements (Cumulative):
• At least 2 years of hands-on experience working with relational or analytical databases, applying SQL for development, testing, debugging, and performance optimization in production environments.
• Within that experience, at least 1 year designing or implementing ETL processes and data integration solutions using enterprise ETL tools (e.g., SAS Data Integration Studio, IBM DataStage, Informatica) for large or complex data sets.
• Exposure to data modelling and architecture: practical experience creating conceptual, logical and physical data models using dimensional, relational or Data Vault techniques in analytical environments.
• Technical Skills:
• Databases & SQL:
• Expert-level SQL skills (procedures, triggers, functions, packages) in at least one major RDBMS/EDW technology such as Oracle, MS SQL Server, Teradata, or DB2.
• Strong ability to profile, tune and optimize SQL code and database performance for ETL and reporting workloads.
• Data Modeling & ETL
• Solid understanding of dimensional modelling, normalized/relational modelling and Data Vault approaches; ability to translate business requirements into conceptual, logical and physical models.
• Hands-on experience with ETL/ELT toolsets (SAS Data Integration Studio, IBM DataStage.
• Cloud & Big Data (Experience or Interest):
• Experience with, or strong interest in, processing and integrating data on major cloud platforms (GCP, Azure, AWS). Familiarity with cloud storage, managed databases and serverless / data pipeline services is desirable.
• Bonus: familiarity in Big Data technologies such as Hive, Spark, NiFi, HBase, HDFS, Kafka, Kudu.
• Programming & Analytics:
• Practical scripting or programming skills (SQL-centric plus one of Python, R, or SAS) to support data transformation, automation and basic analytics.
• Ability to translate complex business requirements into robust, scalable data solutions.
• Soft Skills & Language:
• Strong analytical thinking, problem-solving and attention to detail.
• Professional working proficiency in English and effective communication with technical and non-technical stakeholders.
• Willingness to travel to client locations across Europe as required.

What we offer

• 🚀 Career Development
• Permanent employment contract
• Individual support from a dedicated People Lead
• Personalized professional development path
• Access to coaching sessions
• Extensive training package including:
• Soft skills, technical, and language training
• E-learning platforms
• Gallup strengths assessment
• GenAI training
• Cloud certification programs
• 🧘 Well-being & Support
• Employee Assistance Program offering legal, financial, and psychological consultations
• Private medical care and life insurance coverage
• Access to the MyBenefit platform, including a wide range of products and services (e.g., Multisport card)
• 💼 Perks & Incentives
• Paid employee referral program
• Eligibility for quarterly dividends through the Employee Share Purchase Plan (for employees who own company shares)

Benefits