Mid/Senior Data Engineer (AWS)

Xebia sp. z o.o.; Wrocław, Rzeszów, Warszawa; Presencial; PLN 140.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Development budgets

Certifications funding

Udemy / O'Reilly access

Conferences & Guilds

Internal training

Xebia Upskill program

Private medical healthcare

MultiSport card

Mental health support

Descripción de la vacante

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

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

English

Analytical skills

Communication

Team collaboration

Problem solving

Data modelling

Herramientas

AWS

Redshift

Snowflake

BigQuery

Python

dbt

Apache Airflow

Kafka

Spark

NiFi

Docker

Kubernetes

Descripción del empleo

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.

You will be:

• 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.

Your profile:

• 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 and being able to communicate effectively with international teams,
• a proactive mindset and being focused on continuous improvement.

Recruitment Process:

CV review - HR Call - Interview - Client Interview - Decision

Benefits

Development:

• development budgets of up to 6,800 PLN,
• we fund certifications e.g.: AWS, Azure,
• access to Udemy, O'Reilly (formerly Safari Books Online) and more,
• events and technology conferences,
• technology Guilds,
• internal training,
• Xebia Upskill.

We take care of your health:

• private medical healthcare,
• multiSport card - we subsidise a MultiSport card,
• mental Health Support.