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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - Cloud Data Pipelines & Analytics - **Company:** VML group - **Location:** Greater London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Database, Databases, Continuous Integration, Directed Acyclic Graph (Directed Graphs), Data Architecture, Data Validation, Data Cleansing, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Profiling, Data Visualization, Data Flow Control, Github, Python (Programming Language), Performance Tuning, Power BI, Standard Sql, Scala (Programming Language), Tableau (Software), Management of Software Versions, Cloud Platform System, Apache Spark, Electronic Medical Records, Kubernetes, Data Analytics, Tools for Reporting, Looker Analytics, Data Pipelines - **Published:** September 8, 2026 - **Apply:** https://www.collegerecruiter.com/job/2840674919-senior-data-engineer--cloud-data-pipelines--analytics ## About the Role As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly - also to non-experts - while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas. At the same time, you solve problems in an analytical and pragmatic manner. Moreover, you have: * Experience in Spark, Python, Scala, or similar. * Excellent SQL skills enabling large-scale data transformation and analysis. * A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools. * Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice) * Expertise in managing databases, including performance tuning, backup, and recovery. * Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation * Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools. * Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders. * Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security * Knowledge of Kubernetes would be an advantage Personal skills: * Strong desire to contribute towards keeping data tidy and well-organized * Ability to think critically, identify issues autonomously, and propose corrective actions. * Build great relationships with your team and stakeholders ## Description As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include: * Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes. * Develop and optimize code to enable pipelines at minimum cost and ease of maintenance. * Build monitoring procedures & tools to ensure solid ETL flows and data quality. * Design processes and tools to correct ETL incidents. * Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives. * Consult our data analytics teams to ensure best practices on the technical use of data are followed. * Design data architectures and collaborate in data migrations in cloud environments. Who are you going to work with? You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams. ## Related Videos - [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) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)