Data Engineer - Q2 start
Data Engineer - Q2 start
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Job Description
Location: London Hybrid
Were thrilled to offer an exciting opportunity for a Data Engineer to join one of our customerfacing tribes and play a pivotal role in Goustos datadriven journey. As a Tribe Data Platform Engineer youll work across all squads within your tribe ensuring analysts data scientists and other stakeholders have seamless access to highquality data at scale to support model building dashboards and analytics. Embedded in the heart of our operations this role is uniquely positioned to directly influence key business initiatives solving meaningful challenges and driving our success.
The Tribe Data Platform Engineer will work on a variety of projects and challenges within their role. This covers everything from working with greenfield data ingestion pipelines to ML Ops to delivering data engineering best practices to the wider data function that sits within the tribes. This is also a great opportunity to get involved with our Experimentation
Simulations Forecasting & Customer Experience / Recommendations projects. If youre excited to empower teams with actionable data and help shape the future of Data at Gousto this is the role for you!
Core Responsibilites
- Collaborate with software engineers to adopt and embed data engineering best practices within the tribe aligning with standards developed by the wider data engineering team.
- Designing and implement new data pipelines and services to meet the evolving needs of the business.
- Continuously improve and optimise existing data engineering pipelines and services for enhanced performance and reliability.
- Applying MLOps best practices to support the development and deployment of robust data science products.
- Champion data quality by creating processes and systems that ensure high data integrity and reliability.
Who you are
- Good experience in a data engineering or data platform engineer role with a strong understanding of distributed computing systems ideally using Spark or PySpark.
- You have handson experience with a variety of analyticsbased services across modern cloud technologies particularly AWS.
- You are fluent in Python and SQL with a solid grasp of data processing and manipulation.
- You have experience working with Databricks (or similar modern data warehouses).
- You have experience administering AWS services using Infrastructure as Code (IaC) tools such as Terraform (experience with other tools is also valued).
- You are familiar with modern data deployments version control CI/CD tooling and testing frameworks.
- You possess excellent communication skills able to articulate complex technical concepts clearly to both team members and stakeholders.
- You have the ability to understand stakeholder requirements and translate these into effective data services.
- You are passionate about data with a keen attention to detail a strong problemsolving mindset and a positive collaborative attitude.
- You have experience working closely with Data Scientists to understand and deliver data requirements.
- You have experience deploying and monitoring machine learning algorithms in production.
- Exposure to any of the following would be beneficial but not essential: Data Mesh Spark streaming Experimentation.
Additional Information :
Benefits
Click here to see our company benefits!
Interview Process
- Call with Gousto Talent Team 20 mins
- Hiring Manager Interview 45 mins
- Technical Interview (Pairing and Solutions Architecture) 90 mins
- Thrive at Gousto Interview 45 mins
Gousto is for everyone
Whether its creating diversity in our recipes or building new teams we care about our people and the opportunities they have at Gousto. Across our business we lead with inclusivity and strive for equality in all we do; working hard to ensure Gousto is an environment where you can be totally yourself.
Everyone is welcome and were looking for applications from people of all backgrounds and experiences.
Excited but wondering if you tick every box We recommend applying anyway so that we can review your profile . And if youre in a job share why not just apply as a pair.
For our roles outside of Operations most of our people spend 1 or 2 days in our offices every week combining the benefits of flexibility and time together with colleagues. We want to enable you to do your best work and if you require additional flexibility please talk to us about it.
If you have a disability that youre worried will affect you during the interview process please let us know and we will do our best to help you feel comfortable.
Wed love it if you could submit your application online. If you require an alternative method of applying please let us know.
#LIW1
#LIHybrid
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
