At a Glance
- Tasks: Lead data engineering projects and integrate AI solutions to drive innovation.
- Company: Dynamic tech company focused on data-driven solutions and collaboration.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a diverse team committed to equality and continuous improvement.
- Why this job: Make a real impact in the tech world while leading a talented team.
- Qualifications: Experience in data engineering, team management, and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
This is more than a job. It’s a chance to build, grow, and make a real impact! We are seeking an experienced Data Engineering Manager.
- Objectives: Define clear objectives, encourage knowledge sharing, and support continuous professional development; develop a culture of performance, collaboration, and continuous improvement.
- Data Platform: Ensure scalable, secure architectures that comply with best practices (data modelling, ELT/ETL, SQL); ensure overall coherence of the data ecosystem.
- AI Integration: Ensure the implementation of robust MLOps practices (deployment, monitoring, operation, and value creation).
- Delivery Management: Prioritise and plan team activities in conjunction with Product Owners and Project Managers; arbitrate between new initiatives and technical debt to ensure realism, quality, and commitment adherence; ensure project quality and delivery.
- Technical Excellence: Ensure adherence to engineering standards (design, development, testing, CI/CD, documentation) within a DataOps approach; promote best development practices.
- Operations: Oversee monitoring, optimisation, and incident management; lead root cause analysis and continuous improvement.
- Collaboration: Collaborate with Integration teams (Workday, Salesforce, ServiceNow) and Architecture to ensure alignment with corporate standards and governance.
- Governance: Proven experience in delivering large-scale data platforms.
- Leadership: Excellent team management and communication skills; ability to thrive in complex and cross-functional environments; strong ability to mobilise and engage stakeholders.
- Technical Expertise: Data pipelines and integration (SQL, Python, dbt, Fivetran, Talend, Airflow); cloud data platforms (ideally Snowflake) and AWS or similar environments; data modelling (dimensional, Data Vault) and architecture design; knowledge of AI/ML lifecycle and MLOps principles; DataOps practices and software engineering best practices (CI/CD, testing, documentation).
- Collaboration: Active contribution to the company’s data strategy and technology roadmaps.
This position combines technical leadership, team management, and delivery responsibility. Success relies on strong architectural capability as well as solid human leadership.
We are committed to providing equal opportunities to all and ensuring a fair and inclusive recruitment process. We do not practice any discrimination based on age, disability, gender, sexual orientation, origin, religion, or any other characteristic protected by law.
Data Engineering & AI Manager employer: Axway
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