
Senior Data Engineer with Databricks
Primary stack
Nice to have's
Job description
About the Position
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 Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, 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.
Responsibilities
- Designing and implementing scalable data pipelines on Databricks.
- Standardizing existing pipelines (gold standard approach).
- Migrating and refactoring legacy data pipelines.
- Developing data transformations using dbt and Python.
- Supporting onboarding of new datasets (US, APAC regions).
- Collaborating with data architects and analytics teams.
- Contributing to future Data Science and MLOps foundations.
- Working under capacity constraints and optimizing performance and resource usage.
Requirements
- Strong experience as a Data Engineer.
- Hands-on experience with Databricks (production-grade pipelines).
- Very good knowledge of Python for data processing.
- Experience with dbt and data transformation layers.
- Solid understanding of data pipeline design, orchestration, and scalability.
- Experience working with legacy systems and pipeline migration.
- Experience with cloud-based data platforms (Azure / AWS / GCP).
- Knowledge of data modeling (medallion architecture, dimensional models).
- Experience working with financial or market data.
- Familiarity with CI/CD practices for data pipelines.
- Ability to work independently and take ownership of data solutions.
- Strong communication skills and team collaboration mindset.
Work from the European Union region and a work permit are required.
Nice to Have
- Experience with Data Science environments or MLOps.
- Knowledge of ML lifecycle support in Databricks.
- Experience working in global, distributed teams.
- Exposure to large-scale, multi-region data onboarding projects.
We Offer
- Competitive salary
- Opportunity to work with leading technologies
- Collaborative and innovative work environment
- Professional growth and development opportunities
About the Company
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 Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, 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.
© GetInData. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
GetinData is a Big Data solution provider based in Warsaw, Poland, who help organizations with processing and analyzing a large amount of data. Company was founded in 2014 and collected a group of experienced and passionate Big Data specialists with proven track of records. We focus on architecting, building and operating scalable data-infrastructures using open-source Big Data technologies such as Hadoop, Flink, Kafka, Cassandra with the highest standards of security, reliability, availability and performance. We mainly work with companies from Sweden, Switzerland and Poland. So far, we have helped 20+ of companies ranging from fast growing start-ups to large corporations in banking, pharmacy, telco, FMCG and media sectors.Besides project we deliver practical Big Data Training for developers, administrator and analysts on basic and advance level. Our Training are delivered by experienced instructors with many years of real life Big Data experience.We also have a big input in Big Data community in Poland. We co-organize the largest technical Big Data conference in Warsaw and meetups of Warsaw Hadoop User Group.
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