Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Team Leader

Royal Mail
Stockport
8 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Data Engineer

Data Analyst Team Leader

Data Science Manager

Data Science Manager

Data Science Manager

Job reference number 321335

Data Team Leader

Salary £45,000 - £50,000 per annum (subject to experience), 6% bonus potential

22.5 days annual leave plus bank holidays

Full time, 37.5 hours per week, Permanent

Highbank House, Stockport, SK3 0ET - with a requirement to be in the Stockport office 3 days per week.

The Data Team Leader is the lead MicroStrategy Architect & Developer and Data Engineer and is responsible for the development of the SQL Datawarehouse and MicroStrategy environments within Royal Mails Property and Facilities (PFSL) function. The role is vital to effectively connect the huge data resource available to PFSL, and will streamline development, ensuring data security & compliance, drive innovation and maximise the value of the platforms.

The role


Working closely with the business, you’ll gather user requirements from a reporting perspective, and make design recommendations. You’ll collate, analyse, and prioritises all demand for changes, ensuring developments are delivered to the appropriate standards, are robust, secure, fully tested and fit for purpose.


As the SME for MS SQL and Microstrategy, you’ll lead meetings and technical work groups, providing support and consultation regarding Microstrategy related issues and act as an escalation point for any service issues within the scope of the team.


With 2 direct reports (BI Developer and Database Administrator), you’ll be responsible for the team’s performance, development, and HR procedures, including attendance, performance management and appraisals.

Furthermore, you’ll define the teams’ objectives, assign responsibilities and provide technical leadership and support in:

MSTR and Data Warehouse Architecture & Development Best practices of data storage, application architecture and user interface Integration and data transfer and loads Performance Optimisation, security and compliance Troubleshooting and support

About you


You need to demonstrate the following skills and experience:

Minimum of 3 years development experience in the Microstrategy (preferable) and MS SQL Environment(essential)Data Modelling techniques and methodologies(essential)Data Warehouse design and development and SQL analysis  Design, development, testing and migration of MicroStrategy schema and application objects Design, development and testing of MicroStrategy dashboards, reports, documents, and HyperCards for both Library and Mobile Knowledge of ETL Tools, MicroStrategy AI, Microsoft 365, MS Power Platform, PowerShell and MS Fabric Excellent communication, proven experience as a team leader or supervisor with a combination of technical, interpersonal, and organisational skills Ability to manage projects, delivering to tight timescales. Professional project management accreditation, e.g. Prince 2, desirable

Closing Date: Sunday 29th December. Please note, this advert may close early if the appropriate number of applications has been reached.

About Us
Royal Mail Property & Facilities Solutions is responsible for upgrading and safely maintaining one of the largest corporate real estates and property portfolios in Europe, with over 1800 sites. We pride ourselves in working to the highest standards of both technical assurance and customer service. It’s our job to support Royal Mail in being the best delivery company in the UK and that it is fit for delivering to 29 million addresses nationwide, six days a week. Through our core delivery pillars of Real Estate & Value Generation, Property Programmes & Projects, and Workplace Services, Royal Mail Property & Facilities Solutions plays a key role in keeping the mail moving.

Royal Mail Property & Facilities Solutions employs 3000 employees and is owned by Royal Mail Group Ltd.

Trust forms the foundation of everything we do in Royal Mail. We want to be transparent about what kind of qualities we are looking for and build trust from the very beginning of your journey with us. The first step is your interview, and we mean ‘your’ interview. We want to give you the opportunity to shine. To enable you to do this, we will provide you with your interview questions ahead of the interview taking place. 

Royal Mail are proud of our diverse employee network groups and the active role they play to support belonging and encourage a positive work environment. We are firmly committed to inclusion and passionate about our people representing the communities we serve. We are happy to support your need for any adjustments during the application and hiring process. Please share the details within your application if required.

We are Forces family friendly and a Gold signatory to the Armed Forces Covenant. We welcome applications from ex-Armed Forces personnel, reservists, veterans, cadet instructors and military spouses/partners.

#RMG #LI-POST #RMCVL

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.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

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.