Business Intelligence and Data Engineering Manager (Internal only)

RNLI
Dorset
1 year ago
Applications closed

Related Jobs

View all jobs

BI and Data Engineering Lead

Data Engineer Automation

Digital Data Consultant, Data Engineering, Data Bricks, Part Remote

Digital Data Consultant, Data Engineering, Data Bricks, Part Remote

Data Analyst - Associate Director - Belfast

Data Engineer

Internal vacancy The RNLI actively promotes continuous development within the organisation and is only seeking applications from current RNLI employees and volunteers at this time. If this position is not filled internally it may be re-advertised openly. LI-DNI The Role: As the Business Intelligence and Data Engineering Manager, you will be responsible for defining and leading our BI & data engineering and power platform team. You will build a catalogue of stable and reusable integrations and data pipelines alongside curating trusted data sets for self-service data and insight. You will enhance and promote DataOps working methods in the right places and inspire others across the institution to care about their data. Key Responsibilities: Inspire, lead, and develop a team of power platform, Business Intelligence (BI), and data engineering specialists. Advocate for the power of good data management and demonstrate the benefit of good quality information flow in decision-making. Act as a data ambassador, educating and influencing at all levels to support the RNLI on its journey to being increasingly data-informed. Lead the ongoing development and enhancement of our data lakehouse architecture. Manage related suppliers and contracts and establish strong relationships with partners. Drive improved data quality in new and existing data services, ensuring relevant legislation is considered at every stage. Support implementing the RNLI’s data strategy. Implement and monitor data pipelines, ETL processes, and data orchestration solutions. Ensure the scalability, reliability, and performance of data infrastructure. About You: You will have significant hands-on experience with data solution design, service or product development, and production implementation. You have previously managed Data Engineering, BI, and/or data teams. You understand the value of good data and want users to have the best experience that our data can provide. You are looking for an opportunity to use your drive to improve things where it will count in our mission of saving lives. Qualifications and Experience: Degree or equivalent qualifications/experience in IT or Data related discipline. Experience in managing Business Intelligence and/or specialist data teams. Experience working with traditional and more iterative/agile development methodologies. Experience in managing 3rd party delivery and building successful delivery partnerships. Safeguarding The RNLI is committed to safeguarding; protecting a person’s health, wellbeing, and human rights, enabling them to live free from harm, abuse, and neglect. We expect all employees and volunteers to share this commitment and have a zero-tolerance approach. The suitability of all prospective employees and volunteers will be assessed during the recruitment process in line with this commitment. This will include relevant criminal record checks being carried out dependent on the eligibility of the role. (England & Wales; DBS check, Scotland; Disclosure Scotland PVG, Northern Ireland; Access NI, Republic of Ireland; Garda Vetting; International, International Child Protection Certificate process). Diversity at the RNLI Our staff and volunteers have been saving lives at sea without prejudice for nearly 200 years. We respect and value diversity of background, skills and perspectives within our teams, and consider it essential to help us deliver a world-class lifesaving service. We are an inclusive organisation and welcome applications from everyone. In addition to having the skills needed for the role, we also look for applicants who share our commitment to living our RNLI values (trustworthy, courageous, selfless, and dependable), and helping us work towards Our Vision: To save Every One.

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 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.