Associate Data Migration Engineer Lisbon

Indicium Tech; Lisboa; Presencial; EUR 30 000 - 50 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Pension Scheme

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

Resumo da oferta

A global data solutions company is seeking an Associate Data Migrations Engineer for its Lisbon office. The role involves building scalable data solutions and contributing to client projects throughout Europe. Candidates should have experience with Python and SQL, with a focus on data ingestion and storage. This position offers significant learning potential and the chance to make an immediate impact with various organizations. Successful candidates will engage with cross-functional teams and support data pipeline development.

Qualificações

• 1–2 years of hands-on experience in Python or a similar language.
• Intermediate knowledge of SQL with joins and aggregations.
• Working knowledge of Git via platforms like GitHub.

Responsabilidades

• Contribute to data ingestion workflows from various sources.
• Assist in implementing data storage solutions.
• Monitor pipeline executions across cloud and local environments.

Conhecimentos

Python

SQL

Git

dbt

Cloud platforms

Software Engineering Fundamentals

Descrição da oferta de emprego

Overview

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 an Associate Data Migrations Engineer at Indicium AI, you will join a team of data practitioners building scalable, reliable data solutions for leading organisations across Europe. Working within client engagements, you will contribute to the design and development of data pipelines, support data integration projects, and grow your expertise under the guidance of experienced engineers. This is an opportunity to establish strong data engineering fundamentals while making a tangible impact on clients' data platforms from day one.

Responsibilities

Data Ingestion & Integration

• Contribute to data ingestion workflows, pulling from relational and NoSQL databases, REST APIs, and flat files with attention to data quality and consistency.
• Support the design and development of ELT pipelines, following team standards and data engineering best practices.
• Assist with monitoring pipeline executions across cloud and on-premises environments, escalating issues as appropriate.

Storage & Warehousing

• Assist in implementing and maintaining data storage solutions including Data Warehouses and Data Lakes.
• Write and optimise SQL queries to support downstream analytics and reporting use cases.
• Work closely with cross-functional teams — analysts, engineers, and client stakeholders — to understand requirements and deliver fit-for-purpose solutions.
• Maintain clear documentation for pipelines, data models, and processes, contributing to a culture of engineering rigour.

Learning & Growth

• Actively engage with DevOps and DataOps practices, absorbing team patterns around CI/CD, version control, and code review.

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: 1–2 years of hands-on experience in Python (primary) or another language such as Java, Scala, or Ruby.
• SQL: Solid intermediate SQL — comfortable with joins, aggregations, and window functions.
• Version Control: Working knowledge of Git via GitHub, GitLab, or Bitbucket.
• dbt: Basic familiarity with dbt — models, sources, and the test/documentation workflow.
• Cloud: Foundational understanding of at least one public cloud platform (AWS, GCP, or Azure)
• Software Engineering Fundamentals: Basic understanding of data structures and algorithms.

Soft Skills & Language

• Intellectual curiosity and eagerness to learn in a fast-paced consulting environment.
• Strong written and spoken English.
• Comfortable asking questions, contributing in team discussions, and receiving technical feedback.

NICE TO HAVE

• Exposure to orchestration tools such as Apache Airflow or Dagster.
• Awareness of distributed processing frameworks (Spark, Dask, or similar).
• Prior experience in a consulting or client-facing environment.
• Pension Scheme
• Choose Your Kit - Select from a range of laptops and accessories
• And many others.