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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Junior Data Engineer - **Company:** MiQ - **Location:** London, UK - **Experience:** Starter - **Salary:** £53,622.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, JIRA, Microsoft Azure, Business Systems, Software as a Service, Information Engineering, Data Transformation, Data Warehousing, Github, Apache Hadoop, Apache Hive, Systems Development Life Cycle, Release Management, Salesforce.Com, Software Engineering, Data Streaming, Sql Optimization, Apache Spark, Pyspark, Kyriba, Workday Studio, Bitbucket, Data Management, Data Pipelines, Workday, Databricks - **Published:** September 25, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5896920517 ## About the Role * Experience in data engineering and integration domain with in-depth exposure around building & managing data pipelines on cloud platforms (Azure or AWS) * Extensive hands-on experience around Notebook Pyspark coding (Preferably on Databricks) & advanced SQL to develop & optimise data pipelines * In-depth understanding of data modelling & data transformation techniques while maintaining a high level of data quality & integrity * Strong software development skills using Hadoop technologies such as Hive, Spark etc. * Experience working in Workday Studio and managing code within the Workday environment * Knowledge & exposure to SaaS Applications, such as Salesforce or any other CRM system * Well-versed with release management, incident management and SDLC methodologies through Bitbucket/GitHub and JIRA * Good understanding of infrastructure components such as clusters, nodes, compute, and storage needed for managing data pipelines and their performance * Proven problem-solving skills with the ability to anticipate roadblocks, diagnose problems and generate effective solutions * Outstanding stakeholder management & communication skills ## Description As a Data Engineer, you'll have the chance to be responsible for development and maintenance of back-end data warehouse systems for our products and applications. Who are your stakeholders? Key stakeholders include the Finance, Traders, Sales, Account Management, Talent, Operations, IT along with tech SME's across Platform, IT, Data management, Data Science & Analytics teams, In this role, you will work with global Finance, Commercial, and IT teams, as well as with CoE teams, such as the Platform team. You will work with new technologies (workday, Adaptive, Kyriba, Punditz) and have the opportunity to learn more about Finance, financial reporting, data engineering for Finance, end-to-end data flows in business critical systems, and using AI within business systems. ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)