Senior Data Engineer

Job not on LinkedIn

🔥 1 minute ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

myenergi

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

⚡ Energy

🔧 Hardware

💰 $36.9M Venture Round - myenergi on 2023-10

Energy • Hardware

myenergi is a UK-based maker of eco-smart home and business energy hardware and software that helps users maximize self-generated power and reduce grid consumption. The company designs and manufactures products such as the zappi EV charger (including zappi GLO), eddi and eddi+ solar power diverters, libbi modular home battery storage, and harvi energy monitors, all designed to connect to the myenergi app for monitoring and control. myenergi emphasizes integration across a solar + EV + battery ecosystem, OCPP support for charger platform compatibility, and partnerships with installers and wholesalers to deliver residential and commercial installations.

📋 Description

• Lead the data lake architecture and roadmap • Design ingestion using Zero-ETL, DMS, APIs and device telemetry • Recommend how Redshift, Iceberg and ClickHouse fit analytical workloads • Set data modelling standards for silver and gold datasets • Build and maintain Glue/PySpark jobs, Lambdas and orchestration with quality gates and tested code • Own pipeline performance, reliability, cost, partitioning, compaction, tuning, monitoring and alerts • Classify sources, minimise PII, mask lower environments and maintain lineage documentation • Build and run a framework for business users to prototype pipelines and automations safely • Partner with finance, sales, service and product to create reusable gold datasets • Make the platform AI-ready with governed datasets, least-privilege access and audit trails • Use AI coding agents to build, test and document pipelines • Set data engineering standards for Terraform, CircleCI CI/CD, code review, testing and documentation • Support and mentor DevOps engineers delivering data extracts and pipelines • Work with the backend team on TypeScript, Lambda, DynamoDB and Postgres data consumption

🎯 Requirements

• 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 such as MCP or semantic layers with governance • Clear communication with technical and business audiences • Experience supporting or mentoring other engineers • Experience leading platform architecture or a small data workstream end to end is desirable • Amazon QuickSight, ClickHouse, Lake Formation, S3 Tables and Glue 5 experience is desirable • Power BI experience is nice to have • Energy, IoT or time-series data experience is desirable • Experience building self-service or low-code data tooling is desirable • TypeScript and serverless experience is desirable • Hands-on, pragmatic, curious, calm, methodical and data-driven approach; advocates for privacy, quality and sustainability

🏖️ Benefits

• 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 • 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