Lead Data Engineer

Bcs, The Chartered Institute For It
Swindon, United Kingdom
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 75K

Job location

Swindon, United Kingdom

Tech stack

Amazon Web Services (AWS)
Azure
Cloud Computing
Computer Security
Information Systems
Information Engineering
Data Governance
ETL
Data Security
Data Systems
Data Vault Modeling
Data Warehousing
Software Design Patterns
Microsoft Data Access Components
Metadata
Meta-Data Management
Netsuite
Power BI
Salesforce
SQL Databases
Web Platforms
Snowflake
Information Technology
Data Lineage
Amazon Web Services (AWS)
Data Management
Data Pipelines

Job description

The Lead Data Engineer is responsible for the design, build and integrity of the BCS data platform, ensuring the organisation has a trusted and secure foundation for reporting, analytics and insight. The role will own the Data Warehouse implementation, ensuring that data sources are integrated consistently and that data is accessible to colleagues in a compliant and secure manner. The Lead Data Engineer will lead the BI team, driving data-enabled decision making across BCS and ensuring alignment with strategic objectives., * Own the Data Warehouse architecture and implementation, ensuring high standards of availability, security and scalability.

  • Ensure data pipelines are in place to ingest, transform and consolidate data from multiple systems (including Salesforce, Netsuite, digital platforms and membership systems).
  • Maintain the integrity, accuracy and completeness of data, applying robust validation and quality assurance practices.
  • Work closely with BI Developers and analysts to deliver timely, accurate and meaningful reports and dashboards.
  • Ensure data access is secure, controlled and compliant with GDPR, data protection and information security standards.
  • Lead the BI team, providing technical direction, mentoring and coaching.
  • Collaborate with business stakeholders to translate reporting needs into technical solutions.
  • Implement metadata management and data lineage capabilities to support transparency and auditability.
  • Establish and maintain data governance practices in collaboration with the Information Security Manager and other key stakeholders.
  • Act as the technical authority for data engineering, setting standards for coding, testing and deployment of data solutions.
  • Evaluate and adopt new technologies, tools and methods to improve data capabilities.
  • Provide expert input into strategic programs requiring integrated data and analytics.
  • Support, coach, mentor and manage your team to ensure fair, consistent approach of workloads and development to produce a highly effective team.

Requirements

Do you have experience in SQL?, * Degree in Computer Science, Data Engineering, Information Systems or related discipline (or equivalent experience).

  • Professional membership of BCS - MBCS.
  • Relevant certifications (e.g. Microsoft Data Engineer, AWS Data analytics, Snowflake or equivalent) desirable.

Experience

  • Proven experience leading data engineering or BI teams in a complex organisation.
  • Hands-on experience designing and implementing enterprise data warehouses.
  • Strong track record of building secure, reliable data pipelines across multiple source systems.
  • Experience of leading data governance, quality and security practices.
  • Demonstrable experience working with senior stakeholders to shape data strategies and deliver insight.

Competencies & Skills

  • Excellent leadership skills, able to inspire and guide a technical team.
  • Strong communication and collaboration skills, able to work with both technical and non-technical colleagues.
  • Analytical thinker with high attention to detail.
  • Well organised and able to manage multiple concurrent initiatives.
  • Problem solver, able to balance long-term architecture with pragmatic delivery.

Knowledge

  • Strong knowledge of data warehouse design patterns and methodologies (Kimball, Data Vault or equivalent).
  • In-depth knowledge of SQL, ETL/ELT pipelines and modern data engineering tools.
  • Good understanding of BI and reporting platforms such as Microsoft Power BI.
  • Familiarity with data security, GDPR, and compliance frameworks.
  • Cloud-based data platforms and services (Azure, AWS, or GCP).
  • Knowledge of data governance, metadata and lineage practices.

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