Data Manager - Engineering

Best Buy Health
Edinburgh
1 year ago
Applications closed

Related Jobs

View all jobs

Head of Research Data Services, Global Data Sciences, Oncology Therapy Area, Research and Devel[...]

Head of Data Science -Telematics

Data Science Manager

Data Science Manager - Advanced Analytics & AI

Manager - Data and Data Science Strategy - Emerging Data and Capabilities

Manager - Data and Data Science Strategy - Emerging Data and Capabilities

As the Senior Manager – Analytics Engineering, youwill lead a data & analytics engineering team, working as partof a broader data organization. In collaboration with Data Science,and Product and Engineering teams, your team will enable innovativedata solutions focused on improving quality and efficiency of caredelivery in the context of hospital-level care at home. You willplay a crucial role in improving healthcare delivery across theBest Buy Health business, ranging from consumer health to chroniccare management and acute hospital-at-home. Remote based in the UK.Lead and inspire the UK-based data & analytics engineeringteam, fostering a positive and productive work environment wherethere is a focus on self-organisation, collaboration and continuousimprovement; Collaborate with cross-functional teams to ensurealignment with the company’s overall data strategy. Overseeprojects focused on (but not limited to) data generated during caredelivery, ensuring timely and efficient delivery of data solutions.Ensure data is cleaned, processed, harmonized, and curated inalignment with industry standards. 10+ years of relevant experiencewith Bachelor’s degree in Data Science, Health Informatics,Computer Science, or related field ~Python, dbt, Airflow, SQLSignificant experience working with healthcare data from hospitals,care delivery, or electronic health records. ~ SQL and NoSQLdatabases (e.g., AWS, Snowflake, Databricks). ~ Prototyping anddelivering incrementally, focusing on good engineering practiceswhile being agile and iterative based on customer needs. ~Architecting data engineering solutions in a healthcare context. ~Pragmatic balance of quality with a fast-paced schedule ~ Teamplayer, ready to help, debate, compromise, and work together ~We’re committed to helping our people thrive at work and at home.Competitive pay Generous employee discount Best Buy Health aims toenrich lives through technology and meaningful connections. We dothat by focusing on consumer health products that help people livehealthier lives, device-based emergency response services fortheactive aging population and virtual care offerings that helpconnect patients to physicians. Keywords: Manager of DataEngineering, Location:

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.