At a Glance
- Tasks: Lead complex data platform and analytics programmes with a focus on delivery and stakeholder management.
- Company: Join a forward-thinking company in London with a hybrid work model.
- Benefits: Competitive contract rate, flexible working, and opportunities for extension.
- Other info: Dynamic role with potential for career growth in a collaborative environment.
- Why this job: Make a significant impact by driving innovative data solutions and optimising performance.
- Qualifications: Experience in data engineering or analytics platforms with strong technical skills.
The predicted salary is between 63000 - 77000 £ per year.
- Engineering Manager - Data Platform & Analytics
- London | Hybrid (minimum 2 days onsite) | 6-month contract + extension
We are recruiting an Engineering Manager to lead the end-to-end delivery of complex data platform and analytics programmes.
You will combine strong technical knowledge with programme execution, stakeholder management and cross-functional leadership, working closely with Data Engineering, Analytics Engineering, Platform and business teams.
Key Responsibilities
- Own delivery of data engineering and analytics platform programmes, managing roadmaps, dependencies, risks, RAID logs and delivery plans.
- Lead technical delivery across Snowflake data warehousing, dbt transformation pipelines, Airflow and Git Hub-based development workflows.
- Drive Snowflake architecture, performance and cost optimisation, plus dbt testing, documentation and deployment governance.
- Define and enforce SDLC, CI/CD, pull request, code review, branching and release management best practice.
- Manage data quality, security, scalability, governance and compliance risks.
- Facilitate technical design discussions and communicate effectively with engineering teams and senior stakeholders.
Essential Skills
- Engineering Manager, Technical Programme Manager or Technical Project Manager background within data engineering or analytics platforms.
- Strong hands-on understanding of Snowflake, dbt, Git Hub, CI/CD and Airflow.
- Modern data stack, ETL pipelines and cloud data platform experience.
- Agile delivery and management of multiple technical workstreams.
- Strong stakeholder management and cross-functional leadership.
Desirable
- Python, SQL, Bash; AWS, Azure or GCP; data quality and observability tools; SAFe, PMP or Agile certification; enterprise-scale data transformation experience.
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Engineering Manager employer: DCV Technologies
As a Large Site Cleaner, you will be part of a dedicated team that values attention to detail and reliability, ensuring a safe and hygienic environment for all. Our company fosters a supportive work culture with opportunities for employee growth and development, making it an excellent employer for those seeking meaningful and rewarding employment. Located in a vibrant area, we offer competitive benefits and a commitment to your professional journey.
