Principal 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 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

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

Strong written and spoken English and Portuguese

Nice to have

Keen interest in modern AI/ML techniques

Perks

Plentiful opportunity and support for learning & development; £2k annual training budget (with 5 study days), access to Udemy, external consulting & leadership skills training

Fast‑growing start‑up organisation with huge opportunity for career growth

Competitive salary package along with company annual bonus

A hugely collaborative working environment where every person’s viewpoint is considered - a chance to make your mark from day one!

Strong engineering community; regularly run forums and Lunch & Learns, internal technology practices, we host external meet‑ups

Financially backed business meaning security and support for new initiatives and global market expansion

Pick your own Gear! Macbooks, PCs, Accessories!

Benefits

Holiday Entitlement - 25 days holiday plus bank holidays

Learning & Development: 1.500€ training budget + 5 training days

Company Bonus - Discretionary company and personal bonus paid quarterly

Pension Scheme

Choose Your Kit - Select from a range of laptops and accessories

Social Events: meeting - Ups, Squad events, Summer/ Christmas events, etc.

And many others.

Skills

Required: Python, Cloud Computing, Distributed Systems, Apache Kafka, Snowflake, Terraform, Java, Apache Flink, DBT

Nice to have: Machine Learning, Artificial Intelligence

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