Indicium AI

End-to-end data and AI consulting

Lead Data Engineers

Data EngineeringConfirmed live in the last 24 hours

Full-timeLondon, UKIn-person

About the Job

Requirements

A good grasp of modern data engineering, including distributed systems, data streaming, and event-based architectures, and how to apply them.
Experience with software engineering and DevOps best practices and the complete software development life cycle applied to data, including automation, testing, contract definition, clean code, continuous integration and continuous delivery, and the path to production.
Experience working with one or more cloud platforms and their services, such as Amazon Web Services, Azure, or Google Cloud Platform.
Extensive hands-on experience with modern data technologies, extract, transform, and load tools such as Kafka, Flink, or dbt; data storage technologies such as Snowflake or Redshift; and infrastructure as code such as Terraform or CloudFormation.
Software development experience with one or more programming languages, such as Python, Java, Scala, or Go.

Responsibilities

Take responsibility for the technical implementation and delivery of modern data systems and AI-enabled applications.
Solve end-to-end data problems and opportunities at scale.
Contribute to solution architecture and design.
Work with customers to guide them to success and bring their data strategy to life.
Engage with a cross-functional squad throughout discovery and delivery phases of engagements, including advisory, design, and implementation of end-to-end solutions.
Contribute to internal initiatives such as blogs and technical forums.

Desired Qualifications

A keen interest in modern artificial intelligence and machine learning techniques.

About Indicium AI

Indicium AI is trusted by the world's leading enterprises to deliver AI 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 AI with unmatched clarity, speed, and capability.

Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact.

Opportunity

We recognise “data” is broad, that’s why we’re keen to speak to those from a heavy data background and cloud natives with experience in building software of high quality standards.

As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you.

Responsibilities

You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications
Solve end to end data problems/opportunities at scale
Contributing to solution architecture & design
Working with our customers to take them on a journey to success bringing their data strategy to life
Engage with your cross-functional squad across discovery & delivery phases of engagements; advisory, design & implementation of end-to-end solutions
Contribute to internal initiatives such as; blogs, technical forums

Requirements (These are || not &&)

Good grasp of modern data engineering (distributed systems, data streaming, event-based architectures etc) and how to apply them
Experience with software engineering and DevOps best practices as well as the complete SDLC applied to data, e.g. automation, testing, contract definition, clean code, CI/CD, path to production
Worked with one or more cloud platforms and services (AWS, Azure, GCP)
Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation)
Software development experience with one or more languages (e.g. Python, Java, Scala, Go)
Pragmatic approach to solving problems
Nice to have: keen interest in modern AI/ML techniques

Why Indicium AI

Fast-growing start-up organisation with huge opportunity for career growth
Highly competitive salary package along with company bonus
A hugely collaborative working environment where every person’s viewpoint is considered - a chance to make your mark on the business from day one!
Financially backed business meaning security and support for new initiatives and global market expansion
Pick your own Gear! Macbooks, PCs, Accessories!
Drive your development with a personal learning budget

About the Company

Indicium AI

End-to-end data and AI consulting

Indicium AI provides end-to-end data and AI consultancy for mid-size and large enterprises, helping organizations organize data, design data strategies, build data platforms, and enable AI adoption. They work by applying the Modern Data Stack (AWS, Databricks, Google Cloud, Snowflake) to deliver data solutions, and they use IndiMesh, a proprietary AI-enabled framework with pre-built templates and governance processes, plus AI Data Squads that combine human experts with AI agents for complex migrations. They differentiate themselves through scalable, service-based delivery using a repeatable framework rather than a single product, focused on standardizing and accelerating large-scale data and AI programs, and by expanding their operations in the United States. Their goal is to help enterprises improve data-driven decision-making and scale AI adoption across industries and geographies.

Company size: 201-500
Company stage: Late Stage VC
Total funding: $40M
Headquarters: Palhoça, Brazil
Founded: 2017

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