Data Engineering Automation Lead
1 week ago
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.
- 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.
- Proficiency in programming languages, such as Python, and experience with APIs and data-driven solutions.
- Awareness of cloud OLAP platforms and experience with SQL.
- 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.
- Opportunities to make a difference through our Aviva Communities and 3 paid volunteering days.
We are an inclusive and welcoming organization, committed to diversity and equality. We value and celebrate individual differences and encourage applications from people with diverse backgrounds and experiences.
We are a smart working organization, offering flexible locations, hours, and working patterns to suit our customers, business, and employees. Most of our people spend around 50% of their time in our offices, combining flexibility with time together with colleagues.
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