Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Engineering Manager

TieTalent
Manchester
1 week ago
Applications closed

Related Jobs

View all jobs

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager...

Data Engineering Manager...

Data Engineering Manager [High Salary]...

Data Engineering Manager

Join to apply for the Data Engineering Manager role at TieTalent

2 days ago Be among the first 25 applicants

Join to apply for the Data Engineering Manager role at TieTalent

Get AI-powered advice on this job and more exclusive features.

Data Engineering Manager – Manchester, hybrid

My client is a £500m turnover B2B SaaS provider and you will be managing a small team of engineers who are responsible for maintaining and developing an efficient and effective data management environment.

In addition to team management experience, you should have solid SQL and data engineering background e.g. ETL, data pipelines as well as:

  • Experience of modelling and building an enterprise data warehouse to support analytical workloads
  • Experience of using Azure services including Azure SQL Database, Data Factory, DevOps, Power BI
  • Experience of good SDLC practices: source control (git), CI/CD, test and release processes
  • Awareness of Data Governance
  • Experience of team leadership and coaching, especially of hybrid on- and off-shore teams
  • Experience of managing a team’s workload in collaboration with delivery, project or product professionals
  • Any experience using any of the following would also be a bonus in our environment: Dynamics CRM, Rabbit MQ, HubSpot, C# .NET development or legacy Microsoft data technologies (SSIS, SSRS)

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesTechnology, Information and Internet

Referrals increase your chances of interviewing at TieTalent by 2x

Sign in to set job alerts for “Engineering Manager” roles.

Greater Manchester, England, United Kingdom 4 days ago

Widnes, England, United Kingdom 3 days ago

Manchester, England, United Kingdom 6 days ago

Manchester, England, United Kingdom 5 days ago

Global Engineering Manager - Industrial and Mining

Manchester, England, United Kingdom 2 days ago

Manchester, England, United Kingdom 3 days ago

Stockport, England, United Kingdom 1 week ago

Manchester, England, United Kingdom 3 hours ago

Warrington, England, United Kingdom 4 days ago

Blackburn, England, United Kingdom 4 days ago

Warrington, England, United Kingdom 6 days ago

Director of Software Technology Management

Manchester, England, United Kingdom 1 week ago

Manchester Area, United Kingdom 1 week ago

Stockport, England, United Kingdom 2 weeks ago

Manchester, England, United Kingdom 2 days ago

Warrington, England, United Kingdom 3 months ago

Associate Director Mechanical Engineering

Manchester, England, United Kingdom 3 weeks ago

Stockport, England, United Kingdom 2 weeks ago

Middlewich, England, United Kingdom 3 days ago

Manchester, England, United Kingdom 4 months ago

Manchester, England, United Kingdom 2 weeks ago

Whitefield, England, United Kingdom 5 days ago

Irlam, England, United Kingdom 5 days ago

Manchester, England, United Kingdom 1 week ago

Accrington, England, United Kingdom 1 month ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Careers

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Jobs

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.