At a Glance
- Tasks: Lead BI delivery and drive data impact across a global retail operation.
- Company: Join Harding+, the world's only dedicated cruise retailer.
- Benefits: Competitive salary, annual bonus, 26 days holiday, and hybrid working.
- Other info: Be part of a collaborative, ambitious team with excellent career growth opportunities.
- Why this job: Shape data capability and make a tangible impact in a unique environment.
- Qualifications: Experience managing BI teams and strong stakeholder management skills.
The predicted salary is between 50000 - 60000 £ per year.
Location: Avonmouth, Bristol (Hybrid – 2–3 days in office)
Contract: Permanent
Salary: Competitive + Bonus + Benefits
Own BI Delivery & Drive Data Impact Across a Global Retail Business
Are you an Engineering Manager, BI Lead, or Data Delivery Manager who thrives on owning delivery and building high‑performing teams? Do you enjoy bringing clarity to complex data environments – ensuring teams are aligned, delivery is consistent, and data initiatives land with real business impact? At Harding+, we’re looking for an Engineering Manager – BI & Integrations to take ownership of Business Intelligence delivery across our global operation – enabling faster, smarter decision‑making that directly impacts commercial performance.
Shape Data & Technology in a Truly Unique Environment
Harding+ is the world’s only dedicated cruise retailer, delivering exceptional onboard retail experiences across leading cruise lines globally. As we continue to invest in our technology landscape – including Microsoft Dynamics 365 Business Central and an evolving Microsoft Fabric‑based data platform – this is an opportunity to step into a highly visible role with real scope and influence. You’ll sit at the intersection of business and technology, shaping how data is structured, delivered and governed across a complex, international environment.
The Opportunity
As Engineering Manager – BI & Integrations, you will lead a remote/offshore BI team, taking full ownership of delivery, prioritisation and team performance. This is a delivery‑first leadership role – success is defined by your ability to create structure, drive accountability and ensure consistent, high‑quality outcomes.
You Will Take Ownership Of:
- Driving consistent delivery across BI and data initiatives
- Establishing clear prioritisation, governance and delivery cadence
- Aligning stakeholders and managing expectations effectively
- Developing a high‑performing, accountable BI team
You’ll operate in a fast‑paced, evolving environment, balancing multiple stakeholders, competing priorities and growing data demands.
Key Projects & Technical Context
The Role Will Initially Focus On:
- Evolving the Microsoft Fabric data platform and BI ecosystem
- Improving data integrity, consistency and structure
- Supporting structured data frameworks (e.g. bronze / silver / gold layers)
- Supporting wider Business Central transformation and integration programmes
- Driving improvements in BI delivery maturity, data governance and data quality
This role is not hands‑on, but requires strong technical understanding to effectively guide, challenge and support the team – ensuring solutions are scalable, well‑structured and aligned to business needs.
About You
This role suits someone who thrives in delivery‑focused environments and takes ownership of outcomes, execution and team performance. You may currently be an Engineering Manager, BI Lead, or Data Delivery Manager with experience leading BI or data teams in complex environments.
You Will Bring:
- Experience managing BI or data teams, ideally across remote or offshore models
- A strong delivery mindset, with the ability to prioritise, organise and execute
- Solid understanding of BI/data platforms (e.g. Power BI, Microsoft Fabric, SQL, ETL/ELT)
- Strong stakeholder management skills, translating business needs into delivery
You’ll Stand Out If You Demonstrate:
- A proactive, outcome‑driven approach
- Confidence to challenge and influence stakeholders
- Strong leadership, communication and problem‑solving skills
- A focus on continuous improvement and raising standards
Why Join Harding+
This is an opportunity to take ownership of BI delivery within a unique, international business where your impact will be visible.
You’ll Have The Opportunity To:
- Lead BI delivery across a global retail operation
- Influence the direction of a growing data platform
- Work on complex, high‑impact data initiatives
- Shape team performance, ways of working and delivery culture
- Be part of an ambitious, collaborative and forward‑thinking team
Our Benefits:
- Annual bonus opportunity
- 26 days holiday plus bank holidays
- Option to buy up to 5 additional days
- Paid volunteer days
- Harding+ staff discount (onboard and staff sales)
- Free onsite parking
- Salary sacrifice schemes
- Online discounts with major retailers
- Employee Wellbeing Assistance Programme
- Social events and team activities
- 4x life assurance
- Medical cashback plan
- Hybrid working and collaborative office environment
About Harding+
Harding+ partners with leading cruise lines to deliver world‑class onboard retail experiences across the globe. We are committed to building diverse, high‑performing teams and creating an environment where people feel supported, valued and able to thrive.
Apply Now
If you’re looking for a role where you can own BI delivery, shape data capability, and make a tangible impact in a global business, we’d love to hear from you.
Engineering Manager - BI & Integrations in Bristol employer: Harding+
At Harding+, we pride ourselves on being a unique employer that fosters a collaborative and innovative work culture, particularly in our Engineering Manager – BI & Integrations role based in Avonmouth, Bristol. With a focus on employee growth, we offer competitive salaries, annual bonuses, and extensive benefits including hybrid working options, generous holiday allowances, and opportunities for professional development within a global retail environment. Join us to make a meaningful impact on data delivery while being part of a diverse team that values your contributions and supports your career aspirations.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager - BI & Integrations in Bristol
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Harding+!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Engineering Manager - BI & Integrations at Harding+.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Harding+.
✨Apply Directly through Our Website
When you find a suitable opening like Engineering Manager - BI & Integrations at Harding+, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Engineering Manager - BI & Integrations in Bristol
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Harding+, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Harding+. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Harding+
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Harding+!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
