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Data Engineering Lead

1 tydzień temu

Wrocław, Województwo dolnośląskie, Polska Xebia sp. z o.o. Pełny etat
About Xebia

Xebia sp. z o.o. is a Polish company dedicated to developing digital solutions for clients across the globe. For nearly two decades, we've been working with renowned brands like UPS, McLaren, Aviva, and Deloitte.

We're passionate about cloud-based solutions, partnering with top cloud providers AWS, Microsoft Azure, and Google Cloud Platform (GCP).

As part of the Xebia Group, we aim to make a meaningful impact in the world of technology through innovation, talented team members, and technological excellence.

Our mission is to be recognized as authorities in our field of expertise.

The key to our success lies in our attitude, dedication to knowledge, and belief in people's potential – emphasizing every team member's development.

About the Role:

We are seeking a skilled Data Engineer to join our team at Xebia. As a Data Engineer, you will collaborate closely with engineering, product, and data teams to design, build, and maintain data platforms and pipelines, ensuring seamless data flows and delivering robust data solutions to our clients.

Your Key Responsibilities:
  • Developing and maintaining data pipelines to ensure seamless data flows
  • Ensuring data integrity, consistency, and availability across all data systems
  • Integrating data from various sources into the data lake
  • Implementing ETL processes to transform and load data into the data warehouse for analytics and reporting
  • Working closely with cross-functional teams to understand data requirements and deliver solutions
  • Collaborating with data engineers to ensure data engineering best practices are integrated into the development process
  • Optimizing data storage and retrieval to improve performance and scalability
  • Monitoring and troubleshooting data pipelines to ensure high reliability and efficiency
  • Implementing and enforcing data governance policies to ensure data security, privacy, and compliance
  • Developing documentation and standards for data processes and procedures
Your Profile:

To be successful in this role, you should have 3+ years of experience in a data engineering position, with hands-on experience in building data processing pipelines. Proficiency in Python, SQL, and Apache Airflow is also essential.

In addition, you should have extensive experience with modern data libraries and frameworks, such as Databricks, Snowflake, and Spark. Hands-on experience with ETL tools and processes, as well as a deep understanding of relational and NoSQL databases, data modelling, and data warehousing concepts, are highly desirable.

You must also have excellent command of oral and written English and be available to start within a short time frame.

A Bachelor's or Master's degree in Computer Science, Information Systems, or a related field is required, and work permit for the European Union region is necessary.