Senior Data Engineer

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 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 of complex systems

- Working with our customers to take them on a journey to success bringing their data strategy to life

- Engage with your cross-functional squad during the implementation of end-to-end solutions

- Contribute to internal initiatives such as blogs, technical forums, and technology practices

- Drive your own development using the tools and support from Indicium AI to learn new skills

- Experience building end-to-end data-centric systems using modern data engineering techniques (e.g. distributed systems, data streaming, event-based architectures etc)

- Software development experience with one or more languages (e.g. Python, Java, C# )

- Solid software engineering and DevOps skills as well as the complete SDLC applied to data, e.g. design patterns, automation, testing, contract definition, clean code, CI/CD, path to production

- Worked with one or more cloud platforms and services ( AWS, Azure, GCP )

- Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.) , data storage (e.g. Snowflake, Redshift, etc.) and also IaC ( e.g. Terraform, CloudFormation )

- Pragmatic approach to solving problems

- Strong written and spoken English and Portuguese

- Keen interest in modern AI/ML techniques

- Experience in a consultancy or client-facing role

- Certifications in relevant technologies ( e.g. AWS Cloud Practitioner, Azure Fundamentals, etc.)