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

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 :)