Senior Data Engineer (Snowflake)

Teamlyzer • Portuguese • French: C1 • English: C1 • Career Services • Job Boards & Aggregators • Paid as a contractor rate • Python • SQL • Scala • ETL/ELT • Informatica • Talend • Alteryx • Apache NiFi • Azure Data Factory • 7 days ago

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Salary

$59k – $68k per year

Location

In office

Seniority

Senior · 6+ years exp

Employment

Full-Time

Confirmed on the employer's own hiring board on Sep 30, 2026. First seen by Alion on Sep 24, 2026. Teamlyzer scores B on the Alion truth index.

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Teamlyzer

Teamlyzer is a Portuguese platform where IT professionals share independent reviews of what it is like to work at technology companies in Portugal. Users read and write anonymous company reviews and job interview experiences, helping developers compare employers, while the site also lists tech job offers. It focuses on the Portuguese IT market and aims to bring transparency to technology employers.

teamlyzer.com • Career Services • Job Boards & Aggregators • Online Reviews & Ratings • 5000+ employees • Est. 2017

Sobre a vaga

As a Senior Data Engineer with strong expertise in Snowflake, you will help organisations transform complexity into measurable outcomes. This role is both technical and consultative, perfect for someone who can combine data engineering expertise, large-scale migration delivery, and modern cloud data platform design.

O que vais fazer

Lead the migration of data workflows from Hadoop/Hive environments into Snowflake
Design and implement a scalable Migration Factory to industrialise and automate migration processes
Develop and optimise Dataiku workflows supporting data ingestion, transformation, orchestration, and automation
Design and maintain robust ETL/ELT pipelines to improve scalability, reliability, and operational efficiency
Analyse existing data solutions and identify opportunities for optimisation and performance improvement
Implement scalable and high-performing Snowflake architectures, ensuring security, governance, and operational excellence
Collaborate with Data Architects, Business Analysts, and stakeholders to translate business requirements into technical solutions
Contribute to documentation, knowledge transfer, and engineering best practices across projects

O que é pedido

Relevant academic background in Computer Science, Data Engineering, Software Engineering, or equivalent professional experience
6+ years of experience as a Data Engineer or in a similar role
Proven experience delivering data migration programmes, ideally within Lift & Shift initiatives
Strong experience working with modern data warehousing and data platform technologies
Experience collaborating with multidisciplinary teams and stakeholders
Professional proficiency in English
Professional proficiency in French
Must be a Portuguese or European citizen or have a work permit for Portugal
Strong expertise with Snowflake (data modelling, optimisation, performance tuning, security)
Hands-on experience with Dataiku or equivalent tools (Alteryx, Talend, Azure Data Factory, Informatica, Knime, Apache NiFi)
Strong experience with: Hadoop; Hive; Legacy-to-cloud migration projects
Proficiency in: SQL
Proficiency in: Relational databases
Proficiency in: Analytical databases
Proficiency in big data frameworks such as Apache Spark, or alternatives (Databricks, Flink, Beam)
Strong analytical and problem-solving skills, with the ability to design scalable and maintainable data solutions

Valorizado

Experience with AWS, Azure, or Google Cloud Platform (GCP)
Programming experience with Python or Scala
Knowledge of CI/CD pipelines and DevOps practices for data engineering
Understanding of Data Governance, Data Quality, and Data Security best practices
Experience working in consulting or client-facing environments
Exposure to international projects and multicultural teams

O que é oferecido

Compensation: 45k - 55k per year or 250-300€ daily rate
Competitive salary aligned with your experience and the data market
Meal allowance: €10.20/day
Flexible benefits plan
Private medical insurance
22 days of annual leave, increasing every 3 years (up to 25 days)
Continuous learning via KLX - Keyrus Learning Experience
A collaborative, international, and human-centred work environment

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.

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