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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Fecund Projects Ltd - **Location:** Greater London, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Business Logic, Microsoft Azure, Spreadsheets, Cloud Database, Code Review, Databases, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Structures, Data Systems, Document-Oriented Databases, Windows Communication Foundation, Python (Programming Language), Machine Learning, Microsoft SQL Server, SQL Azure, Cloud Services, Reverse Engineering, Simple Object Access Protocol (SOAP), SQLite, SQL Databases, Data Processing, Data Lineage, Vba Programming Language, Enterprise Integration, Cosmos DB, Data Management, Static Data, Data Pipelines, Api Management, Legacy Systems, Mulesoft - **Published:** September 8, 2026 - **Apply:** https://www.collegerecruiter.com/job/2840676252-senior-data-engineer ## About the Role * 5+ years of data engineering experience, including delivery in a consulting or client-facing environment. * Proficiency in Python and SQL for data wrangling, transformation, and pipeline development. * Experience in data modeling - designing master data schemas and drafting unified taxonomies across fragmented source systems. * Master Data Management (MDM) experience: cleansing, mapping, and standardizing inconsistent data into a governed structure. * Experience building ETL/ELT pipelines and working with cloud data platforms (AWS, Azure, or GCP). * Experience documenting data governance artefacts and contributing to data governance frameworks. * Ability to reverse-engineer legacy systems and extract business logic from poorly documented codebases or complex Excel/VBA models. * Strong communication skills - able to translate technical decisions clearly for both technical and non-technical stakeholders. * Comfortable operating in ambiguity and structuring a path forward without perfect requirements. * Willing and able to ramp on new technologies as client engagements evolve. Nice to Have * Familiarity with Microsoft Azure services (Azure SQL, Cosmos DB, Azure DevOps). * Experience with API mock development or prototyping in early-phase delivery contexts. * Experience with ERP or supply chain data structures. * Experience modernizing legacy integrations (SOAP/WCF to REST). * Database consolidation or migration experience (SQLite, MSSQL, or cloud databases). * Familiarity with modern orchestration and transformation tools (Airflow, dbt, Dagster, Prefect). * Background in manufacturing, engineering, or cost modelling domains. * Familiarity with enterprise integration platforms such as MuleSoft. * Experience with machine learning or predictive analytics frameworks., We look for individuals who are smart, kind and brave. Curious people with a natural ability to think on their feet, learn fast, and develop points-of-view for a constantly changing world find Method an exciting place to work. Our employees are excited to collaborate with dispersed and diverse teams that bring together the best in thinking and making. We champion the ability to listen, and believe that critique and dissonance lead to better outcomes. We believe everyone has the capacity to lead and look for proactive individuals who can take and give direction, lead by example, enjoy the making as much as they do the thinking, especially at senior and leadership levels. ## Description We are seeking a Senior Data Engineer to join our Data & AI team. You will work within multidisciplinary project teams across a range of client engagements, contributing to the design and development of robust data infrastructure, data pipelines, and scalable data solutions. You think strategically, are comfortable with open-ended data problems, and can contribute meaningfully to client conversations about data architecture, modernization, and AI readiness. The ideal candidate is technically grounded, consulting-minded, and equally comfortable navigating ambiguity, working across disciplines, and communicating clearly with stakeholders at all levels. Travel for client and stakeholder meetings may be required depending on engagement., * Design, develop, and optimize data pipelines and data infrastructure across a range of client engagements. * Contribute to data modeling, master data management, and taxonomy standardization across complex, multi-system environments. * Build and test API integrations and prototypes, including working with static data exports and mock stubs in early-phase delivery contexts. * Document data governance artefacts - data domains, critical data elements, quality rules, and data lineage - and support clients in building data governance capability. * Reverse-engineer legacy systems and extract business logic from poorly documented codebases, complex spreadsheet models, or fragmented data structures. * Collaborate with architects, designers, product managers, and client stakeholders to align data solutions with broader digital product and platform goals. * Contribute to AI readiness assessments - evaluating data coverage, quality, schema consistency, and lineage to identify gaps and support remediation. * Perform code reviews, mentor junior team members, and contribute to best practices across the Data & AI team. * Communicate data architecture and pipeline design clearly using schemas, data flow diagrams, and visual artefacts, for both technical and non-technical audiences. ## 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) - [Why make use of an integration platform in today's software developments and infrastructure?](https://www.wearedevelopers.com/videos/758-why-make-use-of-an-integration-platform-in-today-s-software-developments-and-infrastructure) - [Introduction to TXT](https://www.wearedevelopers.com/videos/30-introduction-to-txt) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023)