What you will do

Join our AI Centre of Excellence in Poland, part of a global team of 9,000+ AI experts and data scientists. We partner with leading tech providers (AWS, GCP, Microsoft, Databricks, Snowflake, SAS) to build scalable AI solutions that drive real business impact.

• 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.

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)

Requirements

HERE’S WHAT YOU’LL NEED:

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.

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.