Senior Data Engineer - Artis Recruitment : Job Details

Senior Data Engineer

Artis Recruitment

Job Location : Bristol, UK

Posted on : 02/05/2025 - Valid Till : 13/06/2025

Job Description :

Senior Data Engineer required by our market leading client in Central Bristol on a hybrid working basis. You will be required to work onsite 2 days a week but with some flexibility. This is an exciting opportunity for a seasoned data professional to take a pivotal role in shaping the future of the organisation’s data capabilities.

About the Role:

As a Senior Data Engineer, you’ll play a key role in developing and maintaining scalable, high-performance data pipelines and architecture. This position offers the chance to influence significant transformation projects and be at the heart of a modernisation journey aimed at unlocking powerful insights and business value through data.

Key Responsibilities Include:

  • Design, develop, and maintain robust, scalable data pipelines and architectures aligned with strategic goals.
  • Mentor and provide technical leadership to data engineers, promoting high standards and continuous learning.
  • Champion automation and foster a culture of innovation and improvement across the team.
  • Identify and resolve complex data issues, enhancing reliability and performance.
  • Implement and maintain data validation, quality checks, and monitoring solutions to uphold governance standards.
  • Collaborate with stakeholders to understand data requirements and deliver effective solutions.
  • Communicate technical concepts clearly to non-technical colleagues and stakeholders.
  • Contribute to setting development standards and practices across the data engineering function.
  • Research and trial emerging technologies to keep the data platform future-ready.
  • Participate in Agile ceremonies and key technical governance processes.

Your Skills & Experience:

  • Strong commercial experience as a Senior Data Engineer / Data Engineer in fast-paced environments.
  • Proficient in SQL, Python, and PySpark for transforming structured and semi-structured data.
  • Deep understanding of data modelling and pipeline architecture design.
  • Experience with orchestration tools (e.g., Airflow) and low/no-code tools (e.g., Talend, SnapLogic).
  • Hands-on with cloud-native data tools (AWS preferred): Lambda, Glue, S3, Redshift, Athena, Secrets Manager.
  • Skilled in API integration and managing cloud resources through SDKs or command-line interfaces.
  • Knowledge of data warehouse technologies such as Redshift, Snowflake, or Databricks.
  • Experience delivering solutions in Databricks, including Unity Catalog and Delta Lake.
  • Comfortable with Git and CI/CD pipelines (preferably Azure DevOps).
  • Strong Agile delivery background with experience in backlog management and sprint planning.
  • Confident communicator and problem-solver with excellent attention to detail.
  • Proven track record of mentoring team members and contributing to technical leadership.

Benefits:

  • A competitive salary
  • A 10% annual bonus
  • 25 days’ holiday plus the option to buy more, and additional days for long service
  • Generous pension scheme with up to 11% employer contributions
  • Healthcare Cash Plan, Wellbeing Platform, EAP and Gym benefit
  • Enhanced family leave: 18 weeks full pay for birthing parents, 4 weeks for non-birthing
  • Annual ShareSave scheme, Life Assurance, discount portal and more

Salary : 60000 - 70000

Apply Now!

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