Mid/Senior Data Engineer (AWS)

Xebia is a global tech company originating from Polish companies PGS Software and GetInData, specializing in cloud, data, and software solutions. They have a team of 1,000+ experts working on projects across fintech, e-commerce, aviation, logistics, media, and fashion. Their clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, and InPost. Xebia is a trusted partner of Databricks, dbt, Snowflake, Azure, GCP, and AWS, and was the first AWS Premier Partner in Poland. The company fosters a strong tech community and supports employee growth through Guilds, Labs, and personal development budgets.

• 3+ years of professional experience in data engineering or a related technical role
• Hands-on experience with AWS and cloud-based data platforms
• Strong SQL and data modelling skills
• Experience with production-scale data warehouses such as Amazon Redshift, Snowflake, or BigQuery
• Proven experience with Python, dbt, and Apache Airflow
• Familiarity with Kafka, Spark, and Apache NiFi
• Experience with Docker and Kubernetes
• Strong analytical, problem-solving, communication, and collaboration skills
• Comfortable working with large and complex datasets in production environments
• Excellent English skills for effective communication with international teams
• Proactive mindset focused on continuous improvement
• Must work from the European Union region and have a work permit

• Designing, developing, and maintaining scalable batch and real-time data pipelines
• Building ELT workflows and data transformations using Python, SQL, and dbt
• Developing and maintaining cloud-based data infrastructure on AWS, including S3, Glue, Lambda, and Redshift
• Implementing data orchestration and scheduling using Apache Airflow or Amazon Managed Workflows for Apache Airflow
• Working with streaming and big data technologies such as Kafka, Spark, and Apache NiFi
• Ensuring the reliability, performance, scalability, and quality of production data pipelines
• Collaborating with data architects, product teams, analysts, IT teams, and business stakeholders to deliver scalable data solutions
• Contributing to data security, governance, monitoring, automation, and continuous improvement
• Participating in a scheduled on-call rotation to support the reliability of the data platform

Work from the European Union region and a work permit are required.