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Data Engineer – Tech Lead
Octopus EnergyData Engineer focused on optimizing and automating data services for electric vehicle leasing. Leading a data team to drive decarbonization with innovative technology solutions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering, including building and optimizing data pipelines, managing high-performance teams, and developing machine learning infrastructure. Proficient in integrating diverse data sources and ensuring data quality while collaborating with stakeholders to deliver impactful insights.
Highest-signal resume keywords
Data Pipeline DevelopmentTeam Management and CoachingDistributed Data ProcessingPython ProgrammingAWS Infrastructure
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData Quality MonitoringData WarehousingMLOps ImplementationDistributed ComputingAPI IntegrationSQL DatabasesNo-SQL DatabasesParquetTerraform
Soft Skills
Problem SolvingCollaborationAdaptabilityCommunicationCoaching
Tools & Technologies
AWSKubernetesSparkDbtDatabricksAirflow
Industry Keywords
DecarbonisationGovernanceData ArchitectureMachine LearningData Integration
Tech Stack
Tools & technologiesAirflowAWSKubernetesPythonSparkSQLTerraform
About the role
Key responsibilities & impact- Own and optimise our platform architecture (improve reliability, scalability, maintainability, etc)
- Shape the direction of our growing team and coach team members on best practices.
- Shape engineering outputs and raising the technical bar of the organization without losing touch with hands-on engineering
- Interact with Senior Leadership to present your data projects back to them
- Build new data sources and data pipelines that deliver key data and insights to the business (this will include integration with third party systems and ingestion through APIs)
- Scope and deliver new data engineering projects in collaboration with business stakeholders
- Develop and deploy ML infrastructure to help build out our ever-growing AI requirements and use cases
- Collaborate closely with our dev teams to build seamless integrations between our back-end databases and our data platform
Requirements
What you’ll need- First and foremost, a passion for decarbonisation
- Ability to work with ambiguity and own problems end-to-end
- Experience managing/mentoring/coaching high performance data teams
- A passion for writing high quality code and building lean processes
- Experience with distributed data processing
- Experience with monitoring, testing, and data quality
- Experience building robust pipelines from diverse sources e.g. parquet, SQL & no-SQL databases, API endpoints
- It would be helpful to have experience/expertise/knowledge in the following:
- Python
- AWS
- Kubernetes
- Spark & distributed computing
- dbt
- Terraform
- Data Warehousing (we use Databricks but experience with other platforms is fine)
- MLOps implementation (desirable but not required)
- Airflow (or other orchestration tooling)
- Governance
Benefits
Comp & perks- Wondering what the salary for this role is? Just ask us!
- Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker.
- Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground.
- We want your hard work to be rewarded with perks you actually care about!
- Octopus Electric Vehicles, part of the Octopus Energy Group, won the Sunday Times best company to work for in 2024.
- We were named 6th out of the top 100 start-ups to work for by Tempo in 2025 and on Glassdoor we were voted 50 best places to work in 2022.