We are seeking an experienced Data Engineer with expertise in AWS to design, build, and maintain robust data pipelines and workflows. This role requires close collaboration with data scientists, analysts, and product teams to deliver scalable data models and reliable datasets that advance experimentation efforts.
responsibilities :
Design, develop, and maintain efficient data pipelines and workflows within AWS environments.
Transform, model, and standardise raw data into reliable, analysis-ready datasets following best practices in data modelling and governance.
Collaborate with data science, analytics, and product teams to translate business requirements into scalable data models and dependable datasets.
Manage and optimise SQL-based ETL processes to ensure efficiency, reliability, and consistency across experimentation projects.
Implement and uphold data quality standards through rigorous testing, validation, and monitoring frameworks.
Document data flows, schemas, and pipeline logic to ensure transparency and maintainability.
Partner with Analytics and Experimentation teams to design experiment tracking data structures and pipelines that capture key performance indicators.
Contribute to the ongoing improvement of data standards, naming conventions, and reusable frameworks within the product data domain.
requirements-expected :
Minimum of three years’ experience in a Data or Analytics Engineering role, preferably supporting digital product experimentation or data science workflows.
Advanced proficiency in SQL for creating and optimising complex queries, data transformations, and data models.
Strong understanding of data modelling techniques, including STAR schemas, third normal form (3NF), entity-relationship modelling, and Medallion architecture.
Demonstrated experience designing and maintaining data pipelines within AWS services such as Redshift, S3, Glue, Lambda, and Step Functions.
Familiarity with modern data orchestration and transformation tools, including DBT, Airflow, or equivalent technologies.
Ability to analyse ambiguous business problems and develop clear, actionable data solutions.
Excellent analytical and problem-solving capabilities, with a focus on building scalable, efficient, and transparent data solutions.
Effective communication skills to engage with both technical and non-technical stakeholders.
Knowledge of experimentation frameworks, including A/B testing pipelines and event tracking, is highly advantageous.
offered :
Opportunity to work in a dynamic and supportive Agile environment.
Engagement with cross-functional teams to drive impactful delivery.
Access to professional development and continuous learning related to Agile methodologies.
Participation in shaping team culture and performance improvement initiatives.
Remote work. Flexibility regarding working hours. Autonomy to choose the way you work. We trust you.
Cooperation with top-tier engineers and experts.
Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
Agile approach and no bureaucracy.
Outstanding integration trips to various places in Europe for all employees.
Activities to support your well-being and health. Luxmed Gold Extended medical care and Multisport Plus benefit.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
