Senior Data Engineer

We are looking for a Senior Data Engineer to join an Agile Data Engineering team and help build and evolve a modern, cloud-based data platform. You will design, develop, and operate scalable data solutions that support critical business processes and enable data-driven decision-making.

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Key Responsibilities

Senior Data Engineer - Cloud Data Platform

We are looking for a Senior Data Engineer to join an Agile Data Engineering team and help build and evolve a modern, cloud-based data platform. You will design, develop, and operate scalable data solutions that support critical business processes and enable data-driven decision-making.

Key Responsibilities

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• Design, develop, and maintain scalable data pipelines and data products using Azure Databricks, PySpark, Python, and SQL.

  
  

• Build and optimize data ingestion, transformation, and storage solutions for analytics, reporting, and operational use cases.

  
  

• Develop and support ETL/ELT processes integrating data from multiple sources into trusted and governed data platforms.

  
  

• Design and review cloud-native solutions leveraging Azure Data Lake Storage (ADLS), Azure Functions, Databricks, and Apache Airflow.

  
  

• Ensure data quality, reliability, scalability, monitoring, and operational excellence across the data ecosystem.

  
  

• Implement and maintain source control, CI/CD pipelines, and deployment automation using Azure DevOps.

  
  

• Collaborate with business and technical stakeholders to translate requirements into robust and sustainable solutions.

  
  

• Enhance existing data products, optimize platform capabilities, and continuously improve engineering practices.

  
  

• Troubleshoot and resolve complex production issues using strong analytical and problem-solving skills.

  
  

• Contribute to data architecture, engineering standards, and best practices across the organization.

  
  

• Promote innovation, knowledge sharing, and continuous improvement within the Data Engineering community.

  
  

• Champion Agile, DevOps, and DataOps principles as part of a cross-functional Scrum team.

  
  

Working Environment

You will work as part of an Agile DevOps team within a Data Engineering organization, collaborating with colleagues across engineering and business functions to analyze, design, develop, test, deploy, and support secure, scalable, and future-proof data solutions.

Your Profile

You bring a strong engineering mindset, a passion for data, and a drive to continuously improve both technology and ways of working.

What We Are Looking For

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• 5+ years of experience in Data Engineering, preferably on cloud-based data platforms.

  
  

• Strong hands‑on experience with Azure Databricks, including Unity Catalog and Databricks Asset Bundles (DAB).

  
  

• Hands‑on experience with Apache Airflow, ADLS, and Azure Functions.

  
  

• Strong proficiency in Python (OOP), PySpark, and SQL.

  
  

• Solid understanding of Apache Spark performance tuning and large‑scale data processing.

  
  

• Experience building and maintaining ETL/ELT pipelines and modern data integration solutions.

  
  

• Experience with Git, CI/CD, and Azure DevOps.

  
  

• Knowledge of data modelling techniques, including dimensional modelling.

  
  

• Strong analytical, troubleshooting, and communication skills.

  
  

• Experience working in Agile/Scrum and DevOps environments.

  
  

Nice to Have

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• Experience with monitoring, observability, logging, and data lineage.

  
  

• Familiarity with Delta Lake, Iceberg, or other modern data lake technologies.

  
  

• Knowledge of data governance, metadata management, and data quality frameworks.

  
  

• Azure and/or Databricks certifications.

  
  

• Experience in Financial Services or other highly regulated environments.

  
  

What You Can Expect

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• The opportunity to work on a modern cloud data platform at scale.

  
  

• A collaborative Agile environment with strong engineering and data practices.

  
  

• The opportunity to contribute to architecture, standards, and continuous improvement. xgiwjmb

  
  

• A role combining hands‑on engineering with opportunities to influence how data solutions are designed and delivered.