Senior Data Engineer — Cloud Data Platform for AI

Greenhouse Software, Inc.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Career progression

Learning budget

Equipment provided

Job summary

Indicium AI, a global AI-native consultancy, seeks a Senior Data Engineer to design, build, and scale cloud-native data platforms enabling analytics, AI, and decisive business outcomes.

You will work with clients to modernise data estates, implement DataOps practices, and deliver scalable data solutions across multiple cloud environments, collaborating with data scientists and platform engineers to realise tangible value.

Qualifications

• 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.

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.

Skills

SQL proficiency

Python programming

Data engineering

Distributed systems

Stakeholder communication

Tools

Databricks

Snowflake

DBT

Apache Spark

Airflow

Dagster

Kafka

Flink

Terraform

Pulumi

CloudFormation

Bicep

Job description

Indicium AI, a global AI-native consultancy, seeks a Senior Data Engineer to design, build, and scale cloud-native data platforms enabling analytics, AI, and decisive business outcomes.

You will work with clients to modernise data estates, implement DataOps practices, and deliver scalable data solutions across multiple cloud environments, collaborating with data scientists and platform engineers to realise tangible value.