Senior Data Engineer | AWS Data Pipelines & Cloud

Xebia sp. z o.o.; Wrocław, Rzeszów, Warszawa; On-site; PLN 140,000 - 210,000; Full time

Benefits offered by this job

Development budgets

Certifications funding

Udemy / O'Reilly access

Conferences & Guilds

Internal training

Xebia Upskill program

Private medical healthcare

MultiSport card

Mental health support

Job summary

Xebia sp. z o.o. is seeking a data engineer in Wrocław to design, develop, and maintain scalable data pipelines for batch and real-time processing.

You will work with cloud-native AWS services, ELT workflows, and modern data technologies to deliver robust data solutions across teams. You will collaborate with data architects, analysts, and stakeholders on production pipelines, ensure performance and reliability, and contribute to governance, monitoring, and continuous improvement in a

Qualifications

• 3+ years of professional data engineering experience.
• Hands-on 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.
• Excellent English and ability to communicate effectively with international teams.
• Proactive mindset and focus on continuous improvement.

Responsibilities

• 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 MWAA.
• 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.

Skills

English

Analytical skills

Communication

Team collaboration

Problem solving

Data modelling

Tools

AWS

Redshift

Snowflake

BigQuery

Python

dbt

Apache Airflow

Kafka

Spark

NiFi

Docker

Kubernetes

Job description

Xebia sp. z o.o. is seeking a data engineer in Wrocław to design, develop, and maintain scalable data pipelines for batch and real-time processing.

You will work with cloud-native AWS services, ELT workflows, and modern data technologies to deliver robust data solutions across teams. You will collaborate with data architects, analysts, and stakeholders on production pipelines, ensure performance and reliability, and contribute to governance, monitoring, and continuous improvement in a