Data Engineer – Middle/Senior

Findmore Consulting • Python • Scala • ETL/ELT • Azure Data Factory • 2 days ago
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Salary
≈ $37k – $94k per year (Estimated)
Location
Hybrid (Lisbon, Portugal)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Aug 18, 2026. Findmore Consulting scores C on the Alion truth index.

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Company
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Findmore Consulting

Findmore Consulting is a Portuguese IT consultancy based in Lisbon that supplies technology professionals and teams to client projects, covering nearshore IT outsourcing, artificial intelligence, CRM and data, cloud transformation and agile delivery. The firm reports more than 20 years of activity, runs its own Findmore Academy training programme and places consultants on projects in Lisbon, Porto, Sintra, Tomar and other Portuguese cities as well as abroad. Its openings are mainly consultant roles for SAP specialists (ABAP, EWM, PP, Basis), identity and access management consultants, full stack, frontend and .NET developers, Salesforce, COBOL and network engineers.
findmore.pt • HQ: Lisbon, Portugal

Main tasks

  • Collaborate with business and technical teams to gather, analyze and interpret data requirements
  • Translate functional requirements into clear and actionable technical specifications
  • Design, implement and optimize DataHub solutions within Microsoft Azure environments
  • Develop efficient and scalable ETL/ELT pipelines using Azure Databricks, Azure Data Factory and/or PySpark notebooks
  • Design and implement data models and end-to-end data solutions covering ingestion, transformation, modelling and data delivery
  • Collaborate with technical teams on data architecture, standards and engineering best practices
  • Ensure data quality, security and governance throughout the data solution lifecycle
  • Provide technical guidance and support to junior team members, promoting data engineering best practices

Requirements

  • Minimum 5 years of professional experience in Data Engineering
  • Strong experience with the Microsoft Azure ecosystem, particularly Azure Databricks
  • Experience with distributed data storage technologies, especially Azure Data Lake Storage
  • Strong knowledge of data formats such as Parquet and Delta Lake
  • Experience across the full data solution lifecycle, including data ingestion, transformation, modelling and delivery
  • Proven ability to design scalable and performance-oriented data architectures
  • Experience working with Agile methodologies, particularly Scrum
  • Strong analytical, problem-solving and critical-thinking skills

Nice to have

  • Experience with Azure Data Factory
  • Knowledge of Scala to PySpark migration
  • Knowledge of Azure Synapse
  • Experience with Jira and Confluence
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