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Lead Data Engineer

Location:  London, GB /
June 2, 2023

APPLYCompany: myGwork
Skills required: Accessibility, Analysis, Big Data, Data Storage, Design, Engineering, Hadoop, Management, Other, Spark
Technologies required: AWS, Data processing, Hadoop, Key
Date: June 02, 2023

Job Title

Lead Data Engineer

Job Description

mGwk

Who are the team?

The uData team have a mission to help UME become the most data rich company in the global life insurance industry. We do this by providing convenient access to rich, multi-source, cross-product data with minimum costs and complexity.

The uData team supports a wide range of stakeholders, including internal teams, external clients, and key decision makers, enabling them to get the most out of our data.

We are a cross-functional agile team made up of a number of skillsets, including data engineers, data scientists, test engineers, product market specialists and agile coaches.

Team outputs/objectives

uData strives to empower clients, other teams, and management to undertake high value analysis of data, supporting better decicison making and leveraging data as a competitive advantage.

We gather data from numerous sources, process it, and make it available via data extracts, structured data stores or BI tools.

We also provide support across the organisation, assisting with pre sales, integration, new client onboarding, and an ongoing commitment to managing changes where necessary.

What will I be doing?

You will be leading a new squad architecting and developing our next generation of data pipelines and ETLs.

The position involves working on a greenfield project initially scoping out, and running proofs of concept on tooling and processes required to solve the key business problem we are tackling. As well as producing the technical designs this role will work closely with the product manager to produce a roadmap and plan for delivery. Finally the role is expected to lead a cross-functional team in delivering the solution.

The tech lead will be expected to share knowledge internally and mentor and develop the more junior members of the team with a view to possible line management responsibilities in the future.

We are interested in candidates who:

  • Have extensive knowledge of data engineering principles and practices. Are proficient in designing and developing scalable data pipelines, implementing ETL processes, and ensuring the integrity and quality of data

  • Have a proven track record of successfully leading data engineering teams. They have experience overseeing the end-to-end data engineering lifecycle, including requirements gathering, design, development, testing, and deployment.

  • Are proficient in working with big data technologies, such as Apache Hadoop, Spark, and Kafka. Have hands-on experience with distributed computing frameworks and data processing engines.

  • Have expertise in cloud platforms (AWS, GCP or Azure). Have experience deploying and managing data pipelines and data storage solutions in a cloud environment

  • Have experience in designing and implementing data lakes and lake warehouses.

  • Have experience in building self-service data platforms for use by other product teams (some may be non-technical) and an awareness of techniques such data mesh combined with the ability to propose and assess solutions to design problems.

  • Have experience collaborating with cross-functional teams, including data analysts, data scientists, UX designers, and business stakeholders

About UnderwriteMe

UnderwriteMe is an Insurtech software business and subsidiary of Pacific Life Re (PL Re), a global life and pensions reinsurance firm. We have a vision to help everyone purchase protection insurance by using data and disruptive technology to transform our partners and markets in order to make their underwriting processes as quick and efficient as possible.

Our core products are:
‘ a best-in-market Underwriting Rules Engine which can be used to automate any structured data within the underwriting journey, and which is sold in the UK & Ireland, Asia-Pacific and North America
‘ the Protection Platform, an end-to-end quote and buy marketplace for Protection in the UK

Working for UnderwriteMe

Joining UnderwriteMe means being part of a technology company that is committed to bringing a fresh and dynamic approach to insurance. You'd be working with a team of highly technical experts made up of people with backgrounds in software, fintech, and insurance. Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step.

Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes.

Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and wellbeing initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events, and overseeing volunteering opportunities.

Benefits

‘ Stakeholder Pension Scheme
‘ Life Assurance
‘ Subsidised Gym Membership
‘ Private Medical Insurance
‘ Season Ticket Loan
‘ Eye Care
‘ Employee Assistance Programme
‘ Group Income Protection
‘ Wellness Benefits

As part of our commitment to accessibility for all, UnderwriteMe will, upon the request of the applicant, provide accommodation during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs, and we will consult with you to ensure suitable accommodation is provided.

UnderwriteMe Principles and Behaviours

Please click here to view our company principles and behaviours



This employer is a corporate member of
myGwork – LGBTQ+ professionals, the business community for LGBTQ+ professionals,
students, inclusive employers & anyone who believes in workplace equality.

Categories: Jobs
Tags: business, Data, experience, insurance, protection

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