Mid/Senior Data Engineer (AWS) @ Xebia sp. z o.o.

Xebia sp. z o.o.; Poland; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Training budget

Private healthcare

Multisport

Integration events

International projects

Mental health support

Referral program

Modern office

Canteen

Free snacks

Free beverages

Free tea and coffee

No dress code

Playroom

In-house trainings

In-house hack days

Normal atmosphere :)

Job summary

Xebia sp. z o.o. is seeking a data engineer to design and operate scalable data pipelines across cloud platforms. You will drive ELT workflows, work with AWS technologies, Python, dbt, and Airflow, and collaborate with global teams to deliver robust data solutions.

The role emphasizes production-grade data platforms, data governance, and continuous improvement in a dynamic environment.

Qualifications

• 3+ years of professional experience in data engineering or a related technical role.
• Hands-on AWS and cloud-based data platforms experience.
• Strong SQL and data modelling skills.
• Experience with production-scale data warehouses (Redshift, Snowflake, BigQuery).
• Proven Python, dbt, and Apache Airflow skills.
• Familiarity with Kafka, Spark, and NiFi.
• Experience with Docker and Kubernetes.
• Strong analytical and communication abilities; collaborative.
• Comfort with large, complex production datasets.
• Excellent English and ability to work with international teams.
• Proactive mindset and focus on continuous improvement.

Responsibilities

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

Skills

3+ years data engineering

AWS

SQL

Data modelling

Redshift

Snowflake

BigQuery

Python

dbt

Airflow

Kafka

Spark

NiFi

Docker

Kubernetes

English

Proactive mindset

Tools

Apache Airflow

Docker

Kubernetes

Job description

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.

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

Recruitment Process

CV review – HR call – Interview – Client Interview – Decision

Who We Are

While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world‑class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top‑notch work across cloud, data, and software. And we’re just getting started.

What We Do

We work on projects that matter – and that make a difference. From fintech and e‑commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting‑edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.

Beyond Projects

What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.

What sets us apart?

Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.

• 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.

Requirements

Requirements: Python, SQL, ELT, AWS, dbt, S3, Glue, Lambda, Redshift, Apache Airflow, Amazon Managed Workflows for Apache Airflow, Kafka, Spark, Apache NiFi, Kubernetes, Docker, BigQuery, Snowflake

Additionally:

• Training budget
• Private healthcare
• Multisport
• Integration events
• International projects
• Mental health support
• Referral program
• Modern office
• Canteen
• Free snacks
• Free beverages
• Free tea and coffee
• No dress code
• Playroom
• In-house trainings
• In-house hack days
• Normal atmosphere :)