Mid Data Migration Engineer

Indicium AI; Lisboa; Presencial; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

25 days holiday

Training budget 1,500€ + 5 days

Discretionary quarterly bonus

Pension scheme

Choose your kit

Social events

Resumo da oferta

Indicium AI is seeking a Data Engineer to own significant client workstreams, designing and delivering robust data solutions in production environments. You will work complex data pipelines, contribute to automation, and provide mentorship to junior teammates, shaping data platforms for financial services, retail, energy, and beyond.

You will implement IaC with Terraform, collaborate with analysts and architects, translate business requirements into technical solutions, and drive governance and

Qualificações

• 3–5 years of professional Python experience with production-grade code.
• Advanced SQL skills including window functions, query optimization, schema design, and performance tuning.
• Advanced dbt proficiency with tests, incremental models, and multi-environment deployments.
• Hands-on experience with Spark, Kafka, Presto, or Airflow in production.
• Experience with BigQuery, Redshift, or Snowflake in client/production contexts.
• Terraform for infrastructure provisioning and management.
• Experience with AWS, GCP, or Azure cloud platforms.
• Git-based workflows with CI/CD integration.

Responsabilidades

• Design, develop, and maintain production-grade ELT pipelines.
• Build and manage data loading processes for distributed storage systems.
• Aggregate and transform large-scale datasets using Spark, Kafka, Presto, or Airflow.
• Provision and maintain data infrastructure using Terraform (IaC).
• Automate infrastructure lifecycle management for scalability and security.

Conhecimentos

English proficiency

Ferramentas

Python

SQL

dbt

Spark

Kafka

Presto

Airflow

BigQuery

Redshift

Snowflake

Terraform

Cloud platforms

Git & CI/CD

Descrição da oferta de emprego

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 Data Engineer at Indicium AI, you will take ownership of significant workstreams at client engagements, designing and delivering robust data solutions in production environments. You will work complex data pipelines with minimal direction, contribute to infrastructure automation, and provide technical mentorship to junior members of the team. Your work will directly shape the data platforms of organisations across financial services, retail, energy, and beyond.

KEY RESPONSIBILITIES

Pipeline Design & Development

• Design, develop, and maintain production‑grade ELT pipelines, applying data engineering best practices and engineering rigour throughout.
• Build and manage data loading processes for distributed storage systems – both relational and non‑relational.
• Aggregate and transform large‑scale datasets using distributed processing tools (Spark, Kafka, Presto, or equivalent).

Infrastructure & Automation

• Provision and maintain data infrastructure using Infrastructure as Code (IaC) tooling, primarily Terraform.
• Automate infrastructure lifecycle management to ensure scalability, reliability, and security standards are consistently met.

Reliability & Governance

• Own SLA monitoring for data pipelines, proactively identifying and resolving issues in cloud and on‑premises environments.
• Implement data access policies and quality standards in line with client governance requirements.

Collaboration & Influence

• Partner with analysts, architects, and client stakeholders to translate business requirements into sound technical solutions.
• Contribute to technical decision‑making, challenging approaches constructively and proposing improvements with supporting rationale.
• Support the professional growth of junior engineers through code review, pairing, and knowledge sharing.

Research & Innovation

• Evaluate and introduce tools or technologies that improve the efficiency, reliability, or scalability of data platforms.
• Document architectures, patterns, and processes to build a durable knowledge base for the team and clients.

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: 3–5 years of professional experience in Python or another relevant language, with production‑quality code standards.
• SQL: Advanced SQL – window functions, query optimisation, schema design, and performance tuning.
• dbt: Advanced dbt proficiency, custom macros, tests, incremental models, and multi‑environment deployments (preference but not mandatory)
• Big Data: Hands‑on experience with Spark, Kafka, Presto, or Airflow in a production setting.
• Data Warehouses: Working experience with BigQuery, Redshift, or Snowflake in a client or production context.
• IaC: Practical experience with Terraform for infrastructure provisioning and management.
• Cloud: Experience with cloud infrastructure and data services on AWS, GCP, or Azure. Associate‑level certification or equivalent.
• Version Control: Proficient with Git‑based workflows, including branching strategies, PRs, and CI/CD integration.

Soft Skills & Language

• Ability to operate autonomously within client engagements, managing your own delivery whilst communicating progress clearly.
• Critical thinking applied to architecture and solution design – you push for the right answer, not just an answer.
• String written and spoken English

PERKS

• 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: SQL, Python, DBT, Snowflake, Databricks, Cloud Computing