Senior Data Engineer (AWS) – Scalable Pipelines & dbt

Engg; Poland; On-site; PLN 150,000 - 210,000; Full time

Job summary

Xebia, a global AI-first, digital transformation, and engineering partner, is seeking a data engineer to design, build, and maintain scalable data pipelines across batch and real-time workloads. You will work with Python, SQL, dbt, and cloud data infrastructure on AWS, leveraging technologies like Redshift, Snowflake, and BigQuery.

You will collaborate with cross-functional teams and contribute to data security, governance, monitoring, and automation while participating in on-call rotations to

Qualifications

• 3+ years of professional experience in data engineering or 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 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 and ability to communicate with international teams.

Responsibilities

• Design, develop, and maintain scalable batch and real-time data pipelines.
• Build ELT workflows and data transformations using Python, SQL, and dbt.
• Develop and maintain cloud-based data infrastructure on AWS (S3, Glue, Lambda, Redshift).
• Implement data orchestration and scheduling with Apache Airflow or MWAA.
• Work with Kafka, Spark, and NiFi for streaming/big data workloads.
• Ensure reliability, performance, and quality of production data pipelines.
• Collaborate with data architects, product teams, analysts, IT, and stakeholders.
• Participate in on-call rotation to support data platform reliability.

Skills

AWS

SQL

Python

dbt

Airflow

Kafka

Spark

NiFi

Docker

Kubernetes

Data modeling

Redshift

Snowflake

BigQuery

English

Tools

Docker

Kubernetes

AWS

Redshift

Snowflake

BigQuery

Airflow

Kafka

Spark

NiFi

dbt

Job description

Xebia, a global AI-first, digital transformation, and engineering partner, is seeking a data engineer to design, build, and maintain scalable data pipelines across batch and real-time workloads. You will work with Python, SQL, dbt, and cloud data infrastructure on AWS, leveraging technologies like Redshift, Snowflake, and BigQuery.

You will collaborate with cross-functional teams and contribute to data security, governance, monitoring, and automation while participating in on-call rotations to