Senior Data Engineer

Myenergi Ltd; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Free on-site EV charging

Private Medical Insurance

Cycle to Work Scheme

25 days holiday + bank holidays

Mental Health First Aiders

Job summary

myenergi is seeking a Senior Data Engineer to lead the build-out of our AWS data lake and guide the Bay Lakehouse governance. You will shape data pipelines feeding BI and AI tools, ensure guardrails on quality, cost and privacy, and collaborate with DevOps to raise data platform standards.

You will work with a cross-functional team, own data modeling standards, and drive data extraction with modern CI/CD and IaC practices while enabling AI agents to safely access datasets.

Qualifications

• Significant experience building and operating AWS data platforms.
• Strong hands-on Spark or Glue and Apache Iceberg or equivalent table format.
• Strong Python and SQL with maintainable pipeline code.
• CDC and replication (DMS, Zero-ETL) and integrating SaaS/ERP data via APIs.
• Infrastructure as code and CI/CD, Terraform with CircleCI or GitHub Actions.
• Good grasp of data protection and governance.

Responsibilities

• Lead the data lake architecture and roadmap with bronze/silver/gold on S3 Tables and Apache Iceberg.
• Design ingestion per source (Zero-ETL, DMS, APIs) and device telemetry.
• Recommend how Redshift, Iceberg and ClickHouse fit workloads.
• Set modelling standards and ensure traceability to source.
• Build and maintain Glue/PySpark jobs, Lambdas, and orchestration with quality gates.
• Own pipeline performance, cost, and reliability.

Skills

AWS data platforms

Apache Iceberg

Python

SQL

Spark/Glue

Redshift

DMS/ETL

Terraform

CI/CD (CircleCI/GitHub Actions)

data governance

AI coding agents

Tools

Glue

Redshift

Iceberg

DMS

Terraform

CircleCI

GitHub Actions

Job description

Putting the ‘i’ into British Innovation.

Putting the ‘i’ into Inventing the Future.

Putting the ‘i’ into Inspiring Change.

myenergi is a growing global clean‑tech manufacturer dedicated to removing the barriers to a greener future. Known for our award‑winning zappi EV charger and our intelligent home energy management ecosystem, we empower customers to control, store, and optimise their self‑generated energy.

With an expanding international presence and ambitious plans for continued global growth, we’re shaping the future of smart, flexible homes, leading innovation in solar, EV, and battery technology to create a cleaner, more sustainable future for all.

Role Summary:

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.

Our Values:

At myenergi, our values guide how we work every day

Bold – Push for better

• Challenge the norm and set new standards
• Try new ideas and learn fast
• Focus on progress, not perfection
• Speak up, even when it's hard

Empowered – Own the outcome

• Take responsibility for your work and results
• Make informed decisions
• Welcome challenge and give it respectfully
• Put customers first

United – Work as one

• Collaborate and share openly
• Communicate clearly and honestly
• Support each other
• Think beyond your own team

Purposeful – Do work that matters

• Consider the impact of your decisions
• Help customers save money and cut carbon
• Build technology that is made to last
• Deliver value through continuous improvement

What myenergi Offers You

Free on‑site EV charging

Private Medical Insurance

Cycle to Work Scheme

25 days’ holiday (increasing with service) + Bank Holidays

Mental Health First Aiders across the business

Enhanced employer pension contributions

Career development and ongoing support

Employee empowerment and autonomy

Free on‑site parking

A positive, purpose‑driven working environment

EV salary sacrifice scheme

Birthday leave – because everyone deserves a day off for their birthday

Life Assurance - death in service

Long service awards

Enhanced maternity and paternity pay

Life Celebrations – vouchers for birth and marriage

Employee Assistance Programme – a free, 24/7 UK‑based counselling helpline

Enhanced employer pension contributions

myenergi is committed to being an equal opportunity, diverse and inclusive employer. We want a supportive and inclusive environment where our colleagues can reach their full potential without prejudice and discrimination. We are committed to a culture where respect and understanding is fostered, and the diversity of people’s backgrounds and circumstances will be positively valued.