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

Apply Now

Data Quality Analyst (Data Engineering)

BGL Group
London
4 months ago
Applications closed

Related Jobs

View all jobs

Pharmacy Data Analyst

Data Analyst (SQL, Risk, Data Quality, CDE)

Data Analyst (SQL, Risk/ Controls, Data Quality)

Data Analyst

Student Data Analyst

Data Analyst

Job Description - Data Quality Analyst (Data Engineering) (006169)

Description

Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day.
It’s why we’re on a mission to create an automated quoting engine, with the simplest of experiences, wrapped in a brand everyone loves!
We change lives by making it simple to switch and save money and that’s why good things happen when you meerkat.

We’d love you to be part of our journey.
Are you passionate about data quality and skilled in bridging the gap between data engineers and business intelligence (BI) engineers? Do you have solid experience in SQL and AWS Redshift? If so, we have the perfect role for you!

Everyone is welcome.
We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an inclusive workplace and our employees are comfortable bringing their authentic, whole selves to work. This means we’re excited to hear from people with a range of skills, experiences and ideas. We don’t expect you to tick all the boxes, but would love to hear what makes you great for this role.

Some of the great things you’ll be doing:

  1. Collaborating with data engineers and BI engineers to ensure seamless data integration and reporting workflows.
  2. Developing and implementing data quality assurance processes to uphold high standards of accuracy and reliability across our systems.
  3. Optimizing data pipelines and identifying areas for efficiency improvements in AWS Redshift environments.
  4. Establishing monitoring processes to track data quality metrics and proactively addressing anomalies.
  5. Providing actionable insights to stakeholders by supporting BI teams with clean, well-documented data.

What we’d like to see from you:

  1. Strong proficiency in SQL, with hands-on experience in writing and optimizing complex queries.
  2. Expertise in AWS Redshift, including its architecture, performance tuning, and best practices.
  3. A problem-solving mindset with an analytical approach to data challenges.
  4. Excellent communication skills to work effectively across technical and non-technical teams.
  5. Experience in a data quality or similar role where collaboration with engineering and analytics teams was key.

Our people bring our purpose to life.
We champion a culture of innovation and challenge. We have over 300 tech experts across our teams all using the latest tools and technologies including Docker, Kubernetes, AWS, Kafka, Java, Scala, Python, .Net Core, Node.js and MongoDB.

There’s something for everyone.
We’re a place of opportunity. You’ll have the tools and autonomy to drive your own career, supported by a team of amazingly talented people.
And then there’s our benefits. For us, it’s not just about a competitive salary and hybrid working, we care about what matters to you. From a generous holiday allowance and private healthcare to an electric car scheme and paid development, wellbeing and CSR days, we’ve pretty much got you covered!

#LI-HL1

Primary Location

United Kingdom

Work Locations

London - Shoreditch White Collar Factory 1 Old Street Yard, Shoreditch London EC1Y 8AF

#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.

Education Careers

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Jobs

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

Careers

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.

🍪 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.