
Data Engineer - Legal & General
On site
London, United Kingdom
Full Time
27-02-2025
Job Specifications
Company Description
Legal & General looks after around 700,000 institutional customers who have their retirement benefits secured with us. Operating continuously in the UK market from our entrance in 1987, we are the UK's longest-running insurer.
Our Institutional Retirement division provides pension risk transfer (PRT) solutions for UK and US defined benefit (DB) schemes, and reinsurance solutions from our global hub in Bermuda. We work with companies, DB pension schemes and their advisors to help them secure and protect scheme members' retirement benefits.
Joining us means you'll support customers' financial security in retirement; help companies to settle their pension liabilities and focus on growing their businesses; and enable investment for the long term to back our pension promises.
Job Description
We are seeking two talented and motivated Data Engineers to join our dynamic Data Operations and Data Development Teams in Retirement Institutional.
In these roles, you will collaborate with team members to deliver technical aspects of projects, ensuring solutions are designed, built, and implemented effectively to meet business requirements and align with our technology strategy and standards. In Data Operations you will be focusing on platform monitoring ensuring performance and incident handling, while in Development you will be working as part of a cross functional team to deliver end-to-end solutions from problem statements to release.
If you are passionate about data engineering and eager to work in a fast-paced, innovative environment, we want to hear from you!
What you'll be doing:
Collaborating with team members to deliver technical aspects of projects
Ensuring solutions are compliant with GDPR and meet business requirements
Developing and maintaining productive relationships with stakeholders
Delivering data solutions to the business, aiming for automation and standardisation
Continuously improving processes for efficiency and performance
Adhering to IT controls as part of the solution development life cycle
Working within an agile delivery framework
Providing input into team and project planning activities
Qualifications
Who we're looking for:
Proficiency platforms, tools and methodologies such as Azure Cloud services including; Data lake, Data Factory, Function Apps, SQL Server, Snowflake, Data Bricks
High proficiency in scripting languages such as PowerShell
Familiarity with modern project delivery methodologies (Agile, Waterfall, etc.)
Understanding of dimensional/schematic modelling and design
Experience with data integration, ETL/ELT, and data management practices
Familiarity with Code and deployment release management tools and processes like Azure Dev Ops, Github
Demonstrated experience in data engineering, including hands-on development in a customer centric business model
Experience in defining and documenting data solutions, including complex dimensional models
Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer:
The opportunity to participate in our annual, performance-related bonus plan and valuable share schemes
Generous pension contribution
Life assurance
Private medical insurance (permanent employees only)
At least 25 days holiday, plus public holidays, 26 days after 2 years' service. There's also the option to buy and sell holiday
Competitive family leave
Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice
There are the many discounts we offer - both for our own products and at a range of high street stores and online
In 2023, some of our workspaces were redesigned. Our offices are great spaces to connect and collaborate and have your wellbeing at the heart
Additional Information
Legal & General is a leading financial services group and major global investor, named Britain's Most Admired Company in 2023, for the second year running. Rated top in our sector and top for inspirational leadership, we have a strong heritage and an exciting future.
We aim to build a better society for the long term by investing our customers' money in things that make life better for everyone.
If you join us, you'll be part of a welcoming culture, with opportunities to collaborate with people of diverse backgrounds, views and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel.
We strive to be open, mindful and inclusive, so are always willing to discussing flexible working arrangements and reasonable accommodations for candidates with specific needs.
If you're open to find out more, we'd love to hear from you.
"videos":{"title":"Videos To Watch","urls":["https://youtu.be/8ZYGBwImH08","https://www.youtube.com/watch?v=ZBOaxOH1C2c","https://youtu.be/YwHNjdPbbkk"]}}},
About the Company
The space to inspire and grow exceptional careers in financial services and tech. We enable the connection of skilled candidates to opportunities with the biggest employers. We help candidates build their careers and recruiters to engage with, source and hire the people they need. Know more
Related Jobs


- Company Name
- Trilateral Research
- Job Title
- Senior Data Protection Advisor
- Job Description
- Trilateral Research is recruiting for a Senior Data Protection Advisor with proven expertise and experience in relation to data protection compliance to join our Data Protection and Cyber-risk service in the United Kingdom or in the Republic of Ireland. As part of the team, you will be exposed to some of the most interesting data protection challenges of the day, which we resolve on behalf of our varied portfolio of clients. We deliver bespoke services to public, private and third sector clients in the UK and Ireland, supranational institutions, and international organisations. As part of a multidisciplinary team, you will be supported by a network of experts in delivering services to our clients on some of the most pressing issues of the day. If you are looking for a new challenge and you meet the essential criteria below, we would love to hear from you. Key responsibilities Leading and delivering outsourced DPO and DPO Assist services to clients Undertaking large scale data protection projects for International and Supranational clients, ensuring project deliverables are of a high quality and delivered on time Independently fulfilling data protection compliance activities such as data protection impact assessments, compliance audits, gap analysis and data mapping services Managing client relationships and engagement activities to ensure a successful delivery of service Writing briefs for clients on relevant topic areas, including newsletter pieces and other outreach material Driving key improvements to internal systems, processes and client services Contributing to strategic business development tasks, including developing proposals and bids for new projects Skills and experience Interpersonal skills Essential: Excellent written and verbal communication skills to communicate effectively with internal and external stakeholders and clients Proactive problem-solving and analytical skills Adaptable with a strong attention to detail Education and experience Essential: An LLM, other relevant postgraduate qualification and/or CIPP/E or other data protection or information security compliance certifications 5+ years of post-qualification experience in a data protection centred role Experience leading assessments and risk management for complex data processing activities Experience independently leading and managing multiple projects to successful completion Proven experience managing and fostering positive client working relationships Experience of business development and proposal/tender writing Desirable: Experience of writing newsletters and outreach materials Experience of working in large/complex organisations Experience of working in a consultancy environment or capacity Knowledge and technical skills Essential: Thorough operational knowledge of Irish and/or UK and EU data protection legislation (including GDPR/EUDPR); Knowledge of other privacy or compliance frameworks outside of GDPR Proven ability to analyse legislative requirements and translate into organisational practices, solutions and accessible material Excellent project management, presentation & reporting skills Desirable: Knowledge of national data protection legislation for the US or other EU countries (outside of IE) Knowledge of the Irish Health Research Regulations Knowledge of data protection requirements relating to registries, laboratories, biobanking, clinical processing and health research processing activities A working knowledge of cybersecurity What else do I need to know? Location: This position is open to candidates based in the Republic of Ireland OR the United Kingdom (remote working available with occasional site visits) Contract type: Permanent employment contract Start date: ASAP Salary: Commensurate with experience Hours: Full time Our compensation package includes: Competitive salary Enhanced holiday entitlement increasing with service Company sick pay and family friendly pay Flexible working hours Remote working/working from home options Enhanced pension scheme based on service Continuous career development How to apply? Please submit your CV and answer all application questions in order to have your application considered. We ask that you refrain from using Generative AI tools in your application submission. References will be required prior to appointment and candidates must be eligible to work in the country the role requires. We are an Equal Opportunities employer and positively encourage applications from suitably qualified and eligible candidates, regardless of their age, sex, race, disability, sexual orientation, gender reassignment, religion or belief, marital/civil partnership status, or pregnancy and maternity. We are a Disability Confident committed and Living Wage employer. At Trilateral Research, we value privacy and data protection rights. We have a longstanding data protection culture and promote robust ethical standards in data management and research ethics. Please read our Recruitment Privacy Notice in relation to our recruitment activities before submitting your application to work with us.


- Company Name
- Midnite
- Job Title
- Senior Data Engineer
- Job Description
- What will you do? We’re looking for a Senior Data Engineer who is passionate about making an impact in a fast-paced start-up environment. This is a full-stack data role, requiring the ability to work across all aspects of the data lifecycle, including data ingestion, data modelling, pipeline development, dashboarding, and occasional ad-hoc analysis. You’ll work autonomously on end-to-end data projects, from ingesting raw data into Apache Iceberg to building scalable data models and occasionally creating user dashboards. Given the start-up nature of the role, adaptability, initiative, and problem-solving skills are key. Our Tech Stack Our current tech stack includes Python, Docker, Dagster, dbt, Fivetran, Apache Iceberg, AWS Athena, S3, Glue, Redshift, ECS, and Looker. While familiarity with these technologies is preferred, it's not mandatory; what matters most to us is your commitment to maintaining high engineering standards. Collaboration & Leadership You'll closely collaborate with a wide variety of stakeholders including the backend, product and marketing teams, thriving in a small team environment to ensure that our data align with project objectives. Additionally, you'll provide mentorship to junior engineers, playing an active role in fostering the growth and development of the data team. Responsibilities Take ownership of end-to-end data projects, from requirements collection, raw data ingestion to final dashboarding and insights. Build, maintain, and optimise scalable data pipelines using Dagster, Python, and SQL. Design and develop complex data models aligned with industry best practices. Write, optimise, and debug SQL transformations in dbt. Ensure high standards of data quality are maintained through extensive unit testing, integration testing and data monitoring. Drive engineering best practices and mentor less experienced team members. Participate in code reviews, providing constructive feedback to maintain high standards. Stay up-to-date with industry trends and emerging technologies. Assist with the design and implementation of our data architecture. Essential Experience 5+ years of experience in a similar role, with a track record of autonomous work and impact. Start-up or small company experience – we are not looking for candidates with purely large corporate backgrounds. Strong expertise in Python and SQL. Proven experience working across the full data lifecycle, including ingestion, modelling, and visualisation. Deep understanding of engineering best practices (e.g. unit testing, writing DRY code). Hands-on experience with a modern data orchestrator (e.g. Airflow, Dagster, Prefect). Advanced knowledge of data modelling concepts and methodologies (Kimball dimensional modelling, data vault, etc.). Proficiency with dbt. Experience with Looker or a willingness to learn. Comfortable working with Git and version control workflows. Desirable Experience Experience with AWS’s data ecosystem (Glue, Athena, Redshift, S3). Experience with infrastructure-as-code (Terraform preferred) Experience delivering full end-to-end data products, including data visualisation and BI. Understanding of marketing data and attribution models (e.g. Google Ads). What’s in it for you: Shape our future: Play a key role in our team's success, where your voice matters, and you'll have a direct impact on shaping Midnite's future. Connect and unwind: Take part in our quarterly gatherings where our community comes together to bond and have fun. Comprehensive health coverage: Look after your well-being with our outstanding zero-excess health insurance plan, which includes optical and dental coverage. Simplify life: Take advantage of our nursery salary sacrifice scheme, allowing you to conveniently pay your child's nursery fees straight from your paycheck. Work-life balance: Enjoy 25 paid holidays a year, plus generous paid maternity, paternity, and adoption leave, supporting you during life's most important moments. Productive home office: We provide everything you need for a comfortable and ergonomic home setup, ensuring you're as productive as possible. Flexible working: We embrace flexible working, allowing you to adjust your schedule when life's unexpected moments arise. Latest tech made easy: With our salary sacrifice schemes, you can upgrade to the latest gadgets, household items, and mobile tech without the upfront cost. Exclusive perks: Enjoy a wide range of discounts on retailers, groceries, and subscriptions, making life a little more affordable. Grow with us: Expand your skills through internal and external learning opportunities while benefiting from access to mentorship programs that support your development. Transparent compensation: We provide competitive pay with clear team bandings and salary grids, ensuring that salary discussions are simple and fair. Constructive feedback: We foster a transparent culture, encouraging individual feedback and review sessions to help everyone improve.


- Company Name
- Sainsbury's
- Job Title
- Data Scientist
- Job Description
- We’d all like amazing work to do, and real work-life balance. That’s waiting for you at Sainsbury’s. We’re one of the biggest supermarkets in the UK with one of the largest websites. So marketing here really happens at scale. We move a lot faster than you’d think too, across Brand Planning, Brand Comms and Creative, Digital Marketing, CRM and Loyalty, Nectar 360, Insights, and Corporate Responsibility and Sustainability. More people shopping with us each week means more interactions. And thanks to data insight, we understand customers in a way that almost nobody else does. We work alongside incredible brand partners and the best agencies around. So if you have a passion to learn, grow and experience new teams, come and explore it all with us. The big question: why on earth should a Tech professional like you work for a 150-year-old retail chain? Because we’re on a journey. Changing the way we operate. Learning to think nimble. Giving our teams the time and freedom they need to push boundaries. To create amazing systems and technologies. To give our colleagues and our customers even more incredible experiences. There are thousands of experts to talk to and learn from. We’ve got data from billions of transactions for our teams to play with. Things get built here. They get made here. They hit customers and colleagues quickly. Welcome to the home of Sainsbury's Data. What You’ll Do This role is part of a team focussed on building our personalised customer decisioning engine. We are ultimately the brain behind an optimised selection of offers, mechanics and discounts used to drive desired customer behaviour. We do our most complex modelling, forecasting, tool building, and insights-generation and we use agile working methodologies to make sure we’re prioritising the right outcomes. Our Data Scientists are critical in supporting Sainsbury’s to be successful in our corporate strategy of Connecting to our Customers. You will be delivering, analysing, evolving and innovating: efficient, accurate and pacey delivery of code that drives both loyalty and commercial value is the order of the day. Specifically, this Data Scientist role will be supporting the team in the following: Understanding known behaviour and trends across Sainsbury’s. Actively contributing towards ongoing optimisation of our personalisation capabilities, aiming to choose the right message for a particular customer, at the right time, through the right channel and for the right value. Understanding how customers see value and the profitability of an individual’s relationship and sensitivity with price, promotions, Nectar points and offers in order to consider our levers for growth. Identifying new approaches and methodologies to develop how we do things. Being the first port of call when it comes to leveraging our Group-wide dataset. Ensuring every bit of code and output we deliver is documented, repeatable, scalable and sharable via appropriate, collaborative tools (e.g. Git, Confluence). Being an active, participating member of the wider Data & Analytics community at Sainsbury’s. Pairing with Data Engineers to productionise our outputs. What we’re looking for: At least 2-3 years’ experience in a Data Science role (Graduates with no experience will not be suitable) Extensive programming ability across Python and strong ability to use SQL, with proven experience of analysing data in a corporate environment. Strong analytical skills and statistical foundation in concepts such as predictive modelling, clustering and time series analysis. Experience using Jupyter notebooks and version control within a team using Git. Experience using cloud platforms such as AWS or Azure and associated ML tools is desirable but not essential. A curious problem solver who is proactive at developing their technical skills. Business acumen and commercial awareness. Ability to articulate required outcomes and present analytics work succinctly. Independence to achieve results and work under own guidance and initiative Able to have effective technical conversations with data engineers. Curiosity, scepticism and attention to detail regarding data quality, samples, bias and ethics. An awareness and understanding of technology trends and direction in Data Science, AI and analytics. We are committed to being a truly inclusive retailer, so you’ll be welcomed whoever you are and wherever you work. Around here, there’s always the chance to try something new - whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury’s every Friday and Saturday and 15% off at Argos every pay day. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 10% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, pay advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave. Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).


- Company Name
- choreograph
- Job Title
- Data Engineer
- Job Description
- Role:Data EngineerDepartment/Team: Data & Technology Role Objective We plan & buy advertising communications for clients across all channels including TV, radio, and digital platforms like paid search and social media. Together with our clients we want to understand how we are getting on – we want to know what is working and what is not – meaning we need insightful data at our fingertips to power decisions. We’re not just looking for someone who builds data pipelines, we’re looking for someone who can collaborate with non-technical teams to help identify new use cases for data and cloud tech, and help drive efficiencies across Mindshare and for our clients. About The Role You will: Work closely with Business Intelligence and Marketing Science teams to build data models and automated solutions that meet their requirements. Develop and manage automated data, ML and AI tools for our internal media teams and our clients. Build and maintain efficient and scalable data pipelines. Work with our central DevOps team to set up and manage cloud environments (we mainly use GCP). Collaborate with non-technical teams to identify opportunities where data or automation could enhance their or our client’s day-to-day operations. Keep up to date with the latest AI and cloud technology, investigate potential use cases and build POCs. Create and maintain detailed documentation and design specifications. About You Passionate about solving real-world business problems with data & technology. Advanced SQL skills, with the ability to perform complex data transformations on large datasets in an efficiently manner. Ability to interact with non-technical teams and translate their requirements into technical, data-driven solutions. Experience setting up and maintaining cloud environments, data pipelines and automated tools/services. Experience implementing DevOps or MLOPs best practices. Comfortable working with APIs to extract data. Understanding of data warehouse design principles and best practices. Programming experience in Python is desirable but not essential. Prior experience working in a cloud, data or ML engineering role. Solid MS Office skills, ability to create good presentations and technical documents. What we can offer you A strong salary commensurate and in-line with relevant experience 25 days annual leave and your birthday day off Ongoing internal and external training opportunities Flexible working The opportunity to attend industry conferences and awards nights Career and personal progression Private Healthcare Excellent pension matching structure About Mindshare Mindshare is a leading global marketing and media services network with billings in excess of £23billion worldwide. We work with some of the most famous businesses and brands in the UK – such as Unilever, Ford, KFC, Marks & Spencer and TK Maxx. The Mindshare network consists of 116 offices across 86 countries throughout the USA, Latin America, Europe, Middle East, and Asia Pacific; each dedicated to forging competitive marketing advantage for businesses and their brands. Our approach Our ambition is to drive Good Growth for our clients. Good Growth is about delivering growth that is enduring and is considerate of people and planet. Media is a powerful force, and we need to be mindful of the responsibility that it brings. We help our clients make better decisions by ensuring we use media in a trusted, inclusive and sustainable way. We recognise that in order to drive Good Growth, we need to place people at the heart of everything we do. Understanding people, not demographics allows us to place media meaningfully into their lives. Good Growth is a big ambition – one which inspires change for the industry but also for our agency and we achieve this through our values of Energy, Empathy and Impact. Working for Mindshare Our brilliant people allow us to deliver our ambition. We invest heavily in their development to ensure they are progressing and thriving wherever they work in our business. We also think inspiration for our staff is key and our pinnacle and flagship event of the year, Huddle, connects people, opinions and perspectives across borders and is all about learning something new and participating. Committed to Diversity & Inclusion We have a big dream at Mindshare, to become the most inclusive place to work in the country! This will take time but the whole agency is passionate about making it a reality. To support this, we currently have 8 Employee Resource Groups available for our people to join and be a part of including, Roots, PrideM, Women in Business, Enable, Declassify, 0Borders, ADAM and Working Parents. These groups hold the agency to account for making progress and, along with our Mental Health Allies, design and lead events and initiatives that help us create a welcoming environment to all and a place where everyone can be their most confident self.