Mid/Senior Data Engineer (AWS)
Summary
Designs, builds, and maintains scalable AWS-based data pipelines and ELT workflows, ensuring reliability, performance, and collaboration with cross-functional teams.
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.
Work from the European Union region and a work permit are required.
Recruitment Process:
CV review – HR call – Interview – Client Interview – Decision
As published by greenhouse
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter
- Self-assessment of technical skills.* Rate your proficiency in each of the following on a scale of 1 to 5: Python, SQL, AWS, Airflow, dbt* written answer
- LinkedIn Profile optional
- Website optional
- Where did you find this job? choose one
- What is your notice period?
- What is your preferred form of cooperation?
- What are your financial expectations?
- Please specify if the given salary is in net or gross value
- Please specify if the salary expectation are provided hourly or monthly
- Currency of the salary expectations
- What country do you currently reside in? choose one
- Do you have documents entitling you to work in the European Union (valid work permits to work in the EU)? choose one
- Do you speak English at a minimum B2 level? choose one
- I declare that I agree to the processing of my Personal Data contained in the content of documents sent in response to the job/cooperation offer, and Personal Data collected during a possible recruitment interview, in order to participate in future recruitment processes conducted by the Administrator, i.e. Xebia sp. z o.o. with its registered office in Wrocław. choose one · optional
- I declare that I agree to sending to my e-mail address indicated in the content of recruitment documents, any information about recruitment processes conducted by the Administrator, i.e. Xebia sp. z o.o. with its registered office in Wrocław. choose one · optional
- The administrator of Personal Data is Xebia sp. z o.o. with its registered office in Wrocław, ul. Sucha 3, 50-086 Wrocław, KRS: 0000978067, NIP: 8971719181, REGON: 020363023 with a share capital of PLN 37 168 600.00. Your data contained in the CV will be processed only for recruitment purposes. The legal basis for the processing of your personal data is art. 221 cl. 1 of the Labour Code. If you provide separate consent, we will process your personal data also for future recruitment purposes. You have the right to access your personal data, to correct them, to remove them, to restrict their processing, to transfer your data, to submit an objection, to withdraw consent to data processing any time without affecting the lawfulness of processing carried out on the basis of the consent before it was withdrawn. In order to exercise the abovementioned rights, please send an e-mail with your request to: gdpr.pl@xebia.com. If you believe that your data are processed illegally, you can submit a complaint to the supervisory body with its registered office in ul. Stawki 2, Warsaw. We may only disclose your personal data if you provide consent thereto or to authorised bodies, when necessary. choose one · optional