Myenergi on cord

Myenergi

Senior Data Engineer

External position
Remote in UK
Hiring internally for Myenergi?
Energy and Utilities · Manufacturing · Sustainability
Manufacturers of Electric Vehicle charging equipment and eco-smart home devices.
Posted
2 weeks ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: Data Engineer
Experience level: Senior
Core skills considered: AWS, Spark, Python, SQL, Terraform
Other skills considered: CircleCI, Data Modeling, Data Pipelines, CI/CD

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Remote
Work from: Within United Kingdom
Visa sponsorship: Not available

Job Description

A Senior Data Engineer to lead the build-out and adoption of our AWS data lake and help define how the business gets value from it.

You will lead the design and delivery of our medallion lakehouse on Apache Iceberg, the pipelines that feed it and the datasets our BI users and AI tools consume.

You will build the framework that lets business users prototype pipelines and automations safely, with guardrails on quality, cost and data protection. A hands-on senior role reporting to the Head of Software & Cybersecurity and working alongside the DevOps team: you set the data engineering standards, support the DevOps engineers who serve data today, use AI tools daily and make the platform something AI agents can safely consume, with scope to take on more ownership as the data function grows.


Key Responsibilities:

  • Lead the data lake architecture and roadmap, agreed with the Head of Software: bronze/silver/gold on S3 Tables with Apache Iceberg, Glue Catalog, Lake Formation.
  • Design ingestion per source: Zero-ETL (Aurora/RDS to Redshift), DMS, APIs (HubSpot, ERP) and device telemetry.
  • Recommend how Redshift, Iceberg and ClickHouse each fit our analytical workloads, cost-aware.
  • Set modelling standards: silver stays use-case agnostic; every gold metric is traceable to source.
  • Build and maintain Glue/PySpark jobs, Lambdas and orchestration with quality gates and tested code.
  • Own pipeline performance, reliability and cost: partitioning, compaction, tuning, monitoring, alerts.
  • Data protection by design: classify sources, minimise PII at source, mask lower environments; keep lineage docs current.
  • Build and run the framework for business users to prototype pipelines and automations safely, with clear promotion paths to production.
  • Partner with finance, sales, service and product to turn questions into reusable, well-modelled gold datasets; measure time from question to trusted answer.
  • Make the platform AI-ready: governed, well-described datasets exposed to AI agents (e.g. via MCP) with least-privilege access and audit trails; help define the guardrails.
  • Use AI coding agents daily to build, test and document pipelines; set the patterns the team follows.
  • Set data engineering standards: Terraform, CircleCI CI/CD, code review, testing and documentation.
  • Support and mentor the DevOps engineers delivering data extracts and pipelines; pair and review designs.
  • Work with the backend team (TypeScript, Lambda, DynamoDB, Postgres) so application data is consumable by the platform.

Required Qualifications and Experience:

  • Significant experience building and operating AWS data platforms, ideally with a lakehouse or warehouse in production.
  • Strong hands-on Spark or Glue, Apache Iceberg or equivalent table format, and a warehouse such as Redshift.
  • Strong Python and SQL with a record of tested, maintainable pipeline code.
  • CDC and replication (DMS, Zero-ETL) and integrating SaaS/ERP data via APIs.
  • Solid data modelling and experience serving BI and analytics consumers.
  • Infrastructure as code and CI/CD, ideally Terraform with CircleCI or GitHub Actions.
  • Good grasp of data protection and governance: classification, least privilege, PII minimisation.
  • Daily use of AI coding agents; interest or experience in exposing data to AI tools (e.g. MCP, semantic layers) with governance.
  • Clear communication with technical and business audiences; experience supporting or mentoring other engineers.

Desirable:

  • Experience leading platform architecture or a small data workstream end to end; ready to grow into broader ownership.
  • Amazon Quick (QuickSight) experience; ClickHouse or other columnar engines; Lake Formation, S3 Tables and Glue 5.
  • Power BI is nice to have but not part of the day-to-day role; energy, IoT or time-series data.
  • Building self-service or low-code data tooling for business users; TypeScript and serverless experience.
  • Personal attributes: hands-on with the credibility to set standards; pragmatic about cost and complexity; curious about the business; calm, methodical and data-driven; advocates for privacy, quality and sustainability.

Company Benefits

  • Free charging of electric vehicles on site.
  • Private Medical Insurance
  • Cycle to Work Scheme
  • 25 days holiday + Bank Holidays
  • Mental Health First Aiders across the business, let's be there for each other
  • Career Development & Encouragement
  • Employee Empowerment
  • Free onsite parking
  • Positive working environment
  • EV salary sacrifice scheme
  • Birthday Leave – because everyone deserves a day off for their birthday, right?
Senior Data Engineer at Myenergi
Position posted 2 weeks ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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