Data Engineer

Loop Future

Porto

On-site

EUR 70,000 - 90,000

Full time

14 hours ago
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Job summary

Loop Future is seeking an experienced Data Engineer in Porto to design and maintain modern data pipelines and reusable data products. You will work closely with Data Architecture, Business Analysis and stakeholders to translate requirements into scalable solutions.

You will handle data from SAP, Salesforce and external systems, ensuring quality, lineage and governance while optimizing for performance and cost efficiency.

Qualifications

  • Candidates must have 5+ years of experience as a Data Engineer.
  • Deep knowledge of modern data architectures and data modelling.
  • Strong experience with Python, PySpark and SQL across data pipelines.
  • Hands-on Azure Databricks, Synapse, Data Lake Storage and Data Factory.

Responsibilities

  • Design, implement and maintain data pipelines and transformations on Databricks and Synapse.
  • Develop reusable, high-performance data products across bronze, silver and gold layers.
  • Integrate structured and unstructured data from diverse sources including SAP and Salesforce.
  • Ensure data quality, lineage and governance with security standards.
  • Optimise data processing for scalability, performance and cost.

Skills

Python
PySpark
SQL
Data architectures
Data quality
Agile/DevOps

Tools

Azure Databricks
Azure Synapse
Azure Data Lake Storage
Azure Data Factory
Terraform
Git
Databricks Unity Catalog
Purview

Job description

Loop Future combines technology, innovation, and sustainability to create digital solutions that shape the future. By integrating software engineering, cloud solutions, salesforce expertise, and intelligent sourcing, Loop Future connects people, systems, and industries — driving efficiency, growth, and global impact. We are Headquartered in Portugal, but also have international offices in the UK, Switzerland and India. The company brings together a diverse and talented team committed to delivering cutting-edge digital experiences into domains such as TV & Media, Satellite & Space, Consultancy, Retail and many other domains.

About Role

We are looking for an experienced Data Engineer to join our team in Porto. The role will focus on designing, implementing and maintaining modern data pipelines and reusable data products, working closely with Data Architecture, Business Analysis and business stakeholders to translate requirements into scalable technical solutions.

Responsibilities
  • Design, implement and maintain data pipelines and transformations on Databricks and Synapse.
  • Develop and manage reusable, high-performance data products across bronze, silver and gold layers.
  • Integrate structured and unstructured data from diverse sources, including SAP, Salesforce and external systems.
  • Ensure data quality, lineage and compliance with governance and security standards.
  • Optimise data processing for scalability, performance and cost efficiency.
  • Collaborate with the Data Architect, Business Analysts and business stakeholders to translate requirements into technical solutions.
  • Automate workflows, testing and deployment through CI/CD pipelines.
Requirements
  • 5+ years of proven experience as a Data Engineer.
  • Strong understanding of modern data architectures.
  • Strong experience with Python, PySpark and SQL.
  • Hands‑on experience with Azure Databricks (mandatory), Azure Synapse, Azure Data Lake Storage and Azure Data Factory.
  • Knowledge of Data Vault, Dimensional and Entity‑Relationship data modelling techniques.
  • Experience with CI/CD, Azure DevOps or Git, and Infrastructure‑as‑Code tools such as Terraform.
  • Familiarity with Microsoft Purview, Databricks Unity Catalog or comparable metadata and lineage tools.
  • Knowledge of data lifecycle management and a strong focus on data quality, standardisation, documentation and reusability.
  • Experience working with Agile and DevOps delivery approaches.
  • Ability to work cross‑functionally with data, IT and business teams.
Nice to Have
  • Databricks-related certifications.
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