Databricks Data Engineer

Devoteam
Belgium
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 3+ yearsEducation: mastersSkills: ["Communication","Problem-solving"]

Join the Data & AI team to design, build, and maintain data pipelines on the Databricks platform for diverse clients. You’ll leverage Databricks SQL, Delta Lake, and Spark to orchestrate data workflows, integrate cloud services, and model robust data architectures while collaborating with data scientists and BI specialists to enable data-driven decisions.

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Devoteam
Devoteam
7 months ago

Databricks Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Join the Data & AI team to design, build, and maintain data pipelines on the Databricks platform for diverse clients. You’ll leverage Databricks SQL, Delta Lake, and Spark to orchestrate data workflows, integrate cloud services, and model robust data architectures while collaborating with data scientists and BI specialists to enable data-driven decisions.
Location: Belgium
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Data Pipeline Engineering: Design, develop, and deploy robust and scalable data pipelines using Databricks, incorporating data extraction from diverse sources (databases, APIs, streaming platforms), transformation and cleansing using Spark, and loading into target systems (data lakes, data warehouses, etc.). Optimize pipeline performance for efficiency and cost-effectiveness.
  • •Databricks Ecosystem Expertise: Utilize the full capabilities of the Databricks platform, including Databricks SQL, Delta Lake, Databricks Runtime, and Databricks Workflows, to orchestrate complex data workflows and ensure data quality and pipeline reliability.
  • •Cloud Integration: Seamlessly integrate Databricks with cloud services (Azure, AWS, or GCP) for storage, compute, and security, leveraging services like Azure Data Lake Storage, AWS S3, Google Cloud Storage, and more.
  • •Data Architecture and Modeling: Contribute to the design and implementation of robust data models and architectures for data lakes and data warehouses, ensuring data consistency, integrity, and accessibility for various use cases.
  • •Data Quality Assurance: Implement rigorous data quality checks and validation procedures throughout the data pipeline to maintain high accuracy and reliability. Adhere to data governance policies and best practices.

Key Requirements

  • •University Degree in Computer Science, (Business) Engineering, or a specialized master's in Machine Learning or AI
  • •3+ years of experience as a Data Engineer with demonstrated expertise in Databricks
  • •Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP)
  • •Strong programming skills in Python or Scala, with experience in data manipulation libraries (e.g., PySpark, Spark SQL)
  • •Advanced SQL skills for data querying, transformation, and analysis
Experience:3+ yearsDatabricksData EngineeringCloud
Education:Master's in Computer ScienceUnknown
Skills:CommunicationProblem-solving
Languages:English
Tech Stack:DatabricksSparkPySparkPythonScalaSQLDelta LakeAzureAWSGCP

Company Brief

Devoteam
Devoteam is an IT consulting firm specializing in digital transformation, cloud, cybersecurity, and data solutions for enterprise clients across Europe and the Middle East, combining technology partnerships with management consulting services.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Paris, France
Founded: 1995
WebsiteLinkedIn