Data Engineer Team Leader

Findmore Consulting • Python • SQL • 2 days ago
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Salary
≈ $54k – $121k per year (Estimated)
Location
Remote (Portugal)
Seniority
Staff

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Jul 17, 2026. Findmore Consulting scores C on the Alion truth index.

Overview
Company
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Profile match

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

Build and scale robust data pipelines using Python, SQL, Airflow, and DBT

Develop and maintain real-time data processing with Kafka and Spark Structured Streaming

Ingest and transform data from diverse sources and formats (JSON, Avro, Parquet, APIs, etc.)

Influence and contribute to the evolution of our data platform and architecture

Deploy and manage services using Kubernetes and IaC tools

Mentor engineers and promote a collaborative, learning-focused team culture

Collaborate with stakeholders to deliver actionable, high-impact data solutions

Requirements

Strong Python and SQL skills

Hands-on experience with the modern data stack

Experience with Kubernetes for service orchestration

Experience with distributed data processing using Spark or Trino

Familiarity with Kafka (especially for data consumption use cases)

Proven ownership of data initiatives from idea to production

Comfortable working autonomously and making architectural calls

Experience with cloud platforms (AWS, GCP, or Azure)

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