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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Indicium Ai - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Computing Platforms, Automation of Tests, Microsoft Azure, Cloud Computing, Continuous Integration, Data Governance, Data Infrastructure, Data Transformation, DevOps, Distributed Systems, Python (Programming Language), Machine Learning, Performance Tuning, Release Management, DataOps, Software Engineering, Data Streaming, Pulumi, Google Cloud, Snowflake, Apache Spark, Cloudformation, Event Driven Architecture, Infrastructure Automation Frameworks, Apache Flink, Bicep, Apache Kafka, Data Management, Data Lakehouse, Terraform, Stream Processing, Software Version Control, Data Pipelines, Databricks, Programming Languages - **Published:** September 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3fb59040f2388f5a ## About the Role * Strong hands-on experience building modern data platforms and data products in enterprise environments. * Proven experience with one or more major cloud platforms including AWS, Azure, or Google Cloud Platform. * Proven commercial experience with Databricks and/or Snowflake, including the design, implementation, and optimization of data platforms at scale * Strong SQL expertise and software engineering experience using Python and/or other modern programming languages. * Experience developing and orchestrating data pipelines using technologies such as DBT, Apache Spark, Airflow, Dagster, Kafka, Flink, or equivalent tooling. * Solid understanding of data lakehouse, warehouse, and medallion architecture patterns. * Experience applying DevOps and DataOps best practices including CI/CD, automated testing, monitoring, observability, and release management. * Experience with Infrastructure as Code technologies such as Terraform, Pulumi, CloudFormation, or Bicep. * Strong understanding of distributed systems, data modelling, data governance, security, and performance optimisation. * Ability to engage with technical and non-technical stakeholders, communicating complex concepts in a clear and pragmatic way. * Experience working within consulting, professional services, or client-facing delivery environments. Nice to Have * Experience building AI-ready data platforms and supporting GenAI, ML, or advanced analytics workloads. * Experience with real-time streaming architectures and event-driven systems. * Experience with data mesh, data product operating models, or modern data governance frameworks. * Exposure to Data Quality and Observability platforms such as Great Expectations, Monte Carlo, or Soda. * Industry experience within Financial Services, Energy & Utilities, Healthcare, Manufacturing, or Retail. * Cloud provider and/or platform certifications across AWS, Azure, GCP, Databricks, or Snowflake. ## Description We're seeking an experienced Senior Data Engineer to design, build, and scale modern cloud-native data platforms that enable advanced analytics, AI, and business-critical decision making. This role is ideal for someone who enjoys solving complex data challenges end-to-end, from architecting platforms and pipelines through to enabling AI-ready data products. You'll work closely with clients to modernise their data estates, implement best-in-class engineering practices, and deliver scalable data solutions across a variety of cloud environments and technologies. As a consultant, you'll combine deep technical expertise with a pragmatic, outcome-focused mindset, helping enterprise organisations turn their data strategies into reality while influencing engineering best practices across delivery teams. Responsibilities * Design and implement modern data platforms, data products, and scalable data pipelines across cloud environments. * Build, optimise, and maintain batch and real-time data processing solutions to support analytics, reporting, machine learning, and AI use cases. * Work with clients to understand business requirements and translate them into robust technical solutions. * Contribute to solution architecture, platform design, and technology selection decisions. * Implement software engineering and DataOps best practices including testing, observability, CI/CD, version control, and infrastructure automation. * Develop and optimise data models, transformations, and storage layers to ensure performance, reliability, and scalability. * Collaborate with cross-functional teams including Data Scientists, AI Engineers, Platform Engineers, Architects, and business stakeholders. * Support clients through discovery, design, delivery, and adoption phases of data transformation programmes. * Mentor engineers and contribute to the growth of engineering capability across project teams. * Contribute to internal initiatives including accelerators, technical communities, blogs, thought leadership, and capability development. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Why segmenting your infrastructure into tiers makes your infrastructure design better](https://www.wearedevelopers.com/videos/1960-why-segmenting-your-infrastructure-into-tiers-makes-your-infrastructure-design-better) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Unleashing Potential Across Teams: The Power of Infrastructure as Code](https://www.wearedevelopers.com/videos/930-unleashing-potential-across-teams-the-power-of-infrastructure-as-code) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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