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:
- Collaborating with data engineers and BI engineers to ensure seamless data integration and reporting workflows.
- Developing and implementing data quality assurance processes to uphold high standards of accuracy and reliability across our systems.
- Optimizing data pipelines and identifying areas for efficiency improvements in AWS Redshift environments.
- Establishing monitoring processes to track data quality metrics and proactively addressing anomalies.
- Providing actionable insights to stakeholders by supporting BI teams with clean, well-documented data.
What we’d like to see from you:
- Strong proficiency in SQL, with hands-on experience in writing and optimizing complex queries.
- Expertise in AWS Redshift, including its architecture, performance tuning, and best practices.
- A problem-solving mindset with an analytical approach to data challenges.
- Excellent communication skills to work effectively across technical and non-technical teams.
- 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
