Senior Data Engineer

Indicium AI

Lisboa

Presencial

EUR 60 000 - 90 000

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

25 days holiday plus bank holidays

1.500€ training budget and 5 training days

Discretionary company and personal bonus

Pension Scheme

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Resumo da oferta

As a Senior Data Engineer at Indicium AI in Lisbon, you will take on a critical role, leading the design and implementation of scalable data platforms while acting as a technical authority. Responsibilities include creating ELT pipelines and ensuring top-level data governance.

The ideal candidate has over 5 years of experience in data systems, particularly in Python and SQL, and demonstrates strong leadership and communication skills. You will also mentor junior engineers and drive company initiatives.

The position offers comprehensive benefits, including a generous holiday entitlement and a training budget.

Qualificações

5+ years of professional experience building production data systems.
Expert-level SQL skills including schema design and complex query optimization.
Advanced dbt expertise; certification is desirable.
Experience with big data tools like Spark or Airflow.
Advanced Terraform experience for Infrastructure as Code.

Responsabilidades

Lead design and delivery of scalable data architectures.
Architect and maintain ELT pipelines.
Own data infrastructure management via Infrastructure as Code.
Establish data governance frameworks for compliance.
Act as a technical advisor to senior client stakeholders.

Conhecimentos

Python

SQL

dbt

Apache Spark

Terraform

AWS

CI/CD

Ferramentas

Snowflake

Redshift

Airflow

Descrição da oferta de emprego

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.

About the Role

As a Senior Data Engineer at Indicium AI, you will serve as a technical authority within client engagements — leading architectural decisions, owning the delivery of complex data platforms, and shaping engineering standards across the engagement. This role requires someone who combines expert‑level engineering with the communication skills to influence stakeholders, mentor colleagues, and drive the highest standards of data platform delivery.

Key Responsibilities

Architecture & Technical Leadership

Lead the end-to-end design and delivery of scalable, production‑grade data architectures including Data Warehouses, Data Lakes, and Lakehouses.

Define data engineering standards, patterns, and guardrails used across the team and client engagements.

Exercise full technical autonomy — propose, challenge, and refine architectural solutions with clients and internally.

Advanced Pipeline Engineering

Architect, build, and maintain mission‑critical ELT pipelines.

Optimise complex data workflows for performance, cost efficiency, and long‑term maintainability.

Infrastructure & Platform Engineering

Own data infrastructure provisioning and lifecycle management via Infrastructure as Code (Terraform), ensuring scalability, security, and reliability at enterprise scale.

Lead cloud architecture decisions across AWS and/or Azure, aligning platform choices to client strategy and commercial constraints.

Governance, Security & Reliability

Establish and enforce data governance frameworks — access policies, data quality standards, lineage, and observability — in complex, regulated environments.

Define and own SLA commitments for critical data pipelines, leading incident response and continuous improvement efforts.

Client & Stakeholder Engagement

Act as a trusted technical advisor to senior client stakeholders, translating complex engineering decisions into clear business implications.

Contribute to pre‑sales and scoping conversations, helping shape technically sound and commercially viable engagements.

Mentorship & Team Development

Mentor junior and mid‑level engineers, fostering a culture of engineering excellence, curiosity, and continuous learning.

Champion DevOps and DataOps practices — CI/CD, testing, observability, and documentation — as non‑negotiable standards.

Drive research into emerging technologies and tools, translating findings into practical recommendations for the practice.

Requirements

At Indicium AI we believe in personal growth and professional development, and are convinced that the perfect candidate is one that continuously learns. Therefore, these requirements are an || and not an &&

Technical

Programming: 5+ years of professional experience building production data systems, primarily in Python. Proficiency in at least one additional language (Scala, Java, etc.).

SQL: Expert‑level SQL — schema design, complex query optimisation, and deep platform‑specific knowledge (Snowflake, Redshift, etc.).

dbt: Advanced dbt expertise. dbt Developer or dbt Architect certification is highly desirable (preference but not mandatory).

Big Data: Deep experience with orchestration and transformation tooling like Spark, Presto, or Airflow — capable of leading complex aggregation and transformation logic at scale.