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About the Role
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.
Requirements
- 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.
- 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.
Skills
- Python
- SQL
- DBT
- Apache Spark
- Airflow
- Dagster
- Kafka
- Flink
- Terraform
- Pulumi
- CloudFormation
- Bicep
- Great Expectations
- Monte Carlo
- Soda
Location
- London
Work Type
- Consultant
Experience Level
- Senior
Benefits
- Competitive salary and performance-based bonus structure.
- Access to leading technologies and strategic partnerships across the AI and Data ecosystem.
- Collaborative, low-ego culture where expertise, curiosity, and innovation are valued.
- Choose your own equipment, including MacBook, PC, and accessories.
- Dedicated learning and development budget to support certifications and continuous growth.
About the Company
- Indicium AI is trusted by the world's leading enterprises to deliver AI and data into production at scale.
- We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing.
- From strategy, to build, to business outcomes, we unlock value from data and AI with unmatched clarity, speed, and capability.
- Powered by 600+ data, engineering, and AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners including Databricks, Snowflake, AWS, Microsoft, Google Cloud, Anthropic, and OpenAI to deliver transformative data and AI solutions that drive measurable business impact.