Data Engineer – Python (Contactor) at RealityMine Ltd

Manchester, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

18 Aug, 26

Salary

0.0

Posted On

20 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Modeling, Data Validation, AWS, S3, EMR, Spark, Athena, Airflow, Azkaban, Data Transformation, Schema Design, AI-Assisted Workflows, Data Quality Monitoring

Industry

technology;Information and Media

Description

RealityMine has been a pioneer in delivering data driven insights to the world's largest brands for over a decade. Our platform provides unique data solutions to our clients enabling them to make strategic, informed decisions powered by data from real people, collected in a privacy safe way. We’re looking for a Data Engineer with Python experience on a contract basis to help build and evolve RealityMine’s behavioural data products. The Role: You’ll sit in the Data Products team and take responsibility for turning raw signals from our capture technologies into well‑defined, high‑quality datasets. Day to day you’ll use Python and SQL to define schemas, apply business logic, enforce quality checks and ship client‑ready data-feeds. Our offices are based in Manchester and the role consists of hybrid working, where we ask for our team to be in the office for collaboration and team building 2 days per week. The rest of the week is up to you; deep focus at home, or more of the same! Key Responsibilities: Design and evolve data product schemas and fields, turning product requirements into well‑modelled datasets. Build and maintain data feeds primarily using Python with SQL to transform, validate and ship datasets. Monitor and improve data quality with checks, diagnostics and investigations across large datasets. Collaborate with Product, Data Engineering, Apps and ML teams to deliver new features and improvements. Keep documentation for your products and processes clear, up to date and useful. · Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety. About You: You enjoy working close to data and you’re excited to figure out how real‑world digital behaviour should be represented in a clean, reliable way. You must have: Strong Python skills (comfortable writing production-quality code for data transformations, validation and automation) Good SQL skills and experience working with large datasets Attention to detail and interest in data quality and validation Clear communicator who enjoys collaborating across teams Willingness to use AI to accelerate your personal understanding and productivity Nice to have but not essential: Familiarity with AWS‑based data stacks (e.g. S3, EMR/Spark, Athena, Airflow/Azkaban, notebooks). Exposure to AI‑assisted workflows Why Join RealityMine? At RealityMine, we believe our people are at the heart of everything we do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you'll find a home here. Hybrid Working We know work-life balance matters, so we’ve embraced a flexible hybrid working model: · Located in our Manchester office we offer an inspiring, collaborative space to work alongside your colleagues. · Free parking and secure bike shed. Excellent public transport links. · Split your time between the office and home · Flexible start and finish times to suit your personal circumstances. · Fully stocked kitchen with wide range of snacks and monthly Team lunches If you’re a Data Engineer – Python professional excited to work on impactful projects and shape the future of data insights, we’d love to hear from you. Please email your CV with the heading ‘Data Engineer – Python’ to recruitment@realitymine.com

Responsibilities

The role involves turning raw signals into high-quality datasets by defining schemas and applying business logic using Python and SQL. Responsibilities include building data feeds, monitoring data quality, and collaborating with cross-functional teams to deliver new features.