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Data Engineering Automation Lead

2 months ago


Bristol, Bristol, United Kingdom Aviva Full time
About the Role

We are seeking a highly experienced Data Engineering Automation Lead to join our team at Aviva. As a key member of our Solutions Team, you will be responsible for delivering wider capability across the organization.

Key Responsibilities
  • Lead a team of 4 engineers to deliver automation solutions using cloud technologies, such as AWS, EMR-FS, S3, SQS, and Lambda.
  • Develop and implement CI/CD pipelines using modern DEVOPS platforms like ADO.
  • Design and integrate data-driven solutions using Python and APIs.
  • Collaborate with cross-functional teams to ensure seamless integration and automation.
  • Provide technical leadership and guidance to the team, ensuring they have the necessary skills and expertise to deliver high-quality solutions.
Requirements
  • Proven experience in data engineering, automation, and cloud technologies.
  • Strong leadership and management skills, with experience in managing a team of engineers.
  • Excellent communication and collaboration skills, with the ability to work with cross-functional teams.
  • Proficient in programming languages, such as Python, and APIs.
  • Awareness of cloud OLAP platforms and SQL.
What We Offer
  • Competitive salary, circa £65,000, depending on skills and experience.
  • Bonus opportunity, 10% of annual salary, based on performance and company results.
  • Generous pension scheme, with Aviva contributing up to 14%.
  • 29 days holiday, plus bank holidays, and the option to buy or sell up to 5 days.
  • Discounts on Aviva products and other retailer discounts.
  • Free Aviva shares, up to £1,200 per year, through our Matching Share Plan.
  • Supportive policies, including parental and carer's leave, and flexible benefits.
About Aviva

Aviva is a leading insurance and financial services company, committed to making a positive impact on people's lives. We value diversity and inclusion, and welcome applications from candidates with diverse backgrounds and experiences.