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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in Data Engineering with a focus on leading architecture and technical strategy, particularly in modern data platforms and lakehouse architectures on cloud providers like AWS. Proficient in implementing data mesh and ensuring data governance, security, and quality across the organization.
Highest-signal resume keywords
Data Engineering LeadershipModern Data PlatformsEvent-Driven ArchitecturesData Governance FrameworksCloud Provider Expertise
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 EngineeringArchitecture DesignSQLEvent StreamingSchema GovernanceData Quality FrameworksData Security PrinciplesMetadata ManagementData LineageData Mesh Implementation
Soft Skills
Excellent CommunicationStakeholder ManagementInfluencing SkillsMentoring
Tools & Technologies
AWSKafkaKinesisSchema RegistryAvroApache IcebergCI/CD StandardsObservability ToolsData Lifecycle ManagementAPIs
Industry Keywords
Data EcosystemDomain-Driven ArchitectureData Product OwnershipSelf-Service Data PlatformEnergy Industry Knowledge
Tech Stack
Tools & technologiesApacheAWSCloudDistributed SystemsKafkaSQL
About the role
Key responsibilities & impact- Own the technical vision, architecture and roadmap for ENSEK's data ecosystem
- Support ENSEK's domain-driven architecture and ongoing platform decomposition
- Lead the introduction of a pragmatic data mesh approach
- Enable teams to produce, govern and consume data products consistently across the organisation
- Drive architectural decisions through technical leadership and Architecture Decision Records (ADRs)
- Establish standards for event-driven data architectures, schema governance, data lifecycle management and data product ownership
- Shape ENSEK's self-service data platform by creating golden paths for engineering teams
- Define and implement standards for CI/CD, data quality, observability, lineage, metadata management and cost attribution
- Design secure and scalable mechanisms for sharing data with customers and partners through APIs, event streams, open table formats and AI-driven access patterns
- Partner with engineering, product and governance stakeholders to embed data ownership, security, classification and compliance into platform design
- Provide hands-on technical leadership on complex engineering challenges
- Mentor and develop Staff and Senior Engineers
- Help grow a strong data engineering community of practice across ENSEK
Requirements
What you’ll need- Extensive experience in Data Engineering with a strong track record of leading architecture and technical strategy across multiple teams or domains
- Experience operating at Principal Engineer, Staff Engineer or equivalent technical leadership level
- Deep expertise designing and operating modern data platforms and lakehouse architectures on a major cloud provider, ideally AWS
- Strong software engineering fundamentals, including programming, distributed systems and SQL
- Hands-on experience with event-driven architectures, event streaming platforms and schema governance technologies such as Kafka, Kinesis, Schema Registry and Avro
- Experience implementing data mesh, data product or domain-oriented data ownership models
- Strong knowledge of data contracts, metadata management, cataloguing, data lineage and data quality frameworks
- Experience building and governing data platforms that balance self-service capabilities with effective controls and standards
- Strong understanding of data security, privacy, classification and access management principles
- Experience sharing data externally through open and portable technologies such as Apache Iceberg or similar open table formats
- Excellent communication and stakeholder management skills, with the ability to influence senior technical and business leaders
- Nice to have: Experience supporting Machine Learning and AI platforms
- Nice to have: Experience with MLOps and AI-driven product development
- Nice to have: Knowledge of the energy industry or other highly regulated sectors
- Nice to have: Experience building platforms that support agentic AI, MCP servers or emerging AI consumption patterns
Benefits
Comp & perks- 25 days’ holiday + bank holidays
- Option to buy or sell 5 extra annual leave days per year
- Vitality Health Insurance, including private healthcare, virtual GP access, mental‑health support and wellbeing perks
- 50% off gym memberships (Virgin Active, Nuffield, PureGym)
- Pension with 5% matched contribution
- Regular team‑wide and company‑wide events
- 2 volunteering days per year to give back
- Remote‑first working environment with offices in London and Nottingham