100% Remote Data Engineer

ITDS

Portugal

Remote

EUR 40,000 - 60,000

Full time

14 days+
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Job summary

A leading technology firm in Portugal is looking for an experienced Remote Data Engineer. This role requires at least 3 years of experience in data engineering within the retail or e-commerce sectors. You will be responsible for ensuring data integrity, collaborating with analytics teams, and optimizing data assets. The ideal candidate should have strong SQL and data modeling skills, and familiarity with Azure technologies. Apply now to unleash the power of data quality and make an impact in this dynamic industry.

Qualifications

  • At least 3 years of experience in data engineering within retail or e-commerce sectors.
  • Strong proficiency in SQL and data modeling.
  • Hands-on experience with data quality testing.
  • Practical knowledge of CI/CD pipelines.
  • Knowledge of Azure Data Factory, Azure Data Bricks, and Azure SQL Database.

Responsibilities

  • Embed testing into data transformations to uphold data integrity.
  • Define quality gates and monitoring tools for trustworthy datasets.
  • Design and optimize production-grade data assets.
  • Collaborate with analytics teams to translate requirements into data contracts.
  • Integrate testing frameworks into CI/CD workflows.

Skills

SQL
Data modeling
Data quality testing
Performance tuning
Python
Azure Data Factory
Azure SQL Database

Tools

dbt
Snowflake
Terraform
Power BI
Tableau

Job description

Join to apply for the 100% Remote Data Engineer role at ITDS

Unleash the Power of Data Quality — Shape Trust and Insights in Retail & E-commerce!

Portugal – Remote Work Model

As a Senior Data Engineer, you will be working for our client, a leader in the retail and e-commerce industry dedicated to delivering trustworthy, high-quality data to fuel decision-making and business growth. Your expertise will ensure data pipelines are robust, reliable, and aligned with the highest quality standards, enabling smarter insights and seamless operations.

Your main responsibilities:

  • Embed testing and validation into data transformations to uphold data integrity across pipelines.
  • Define and implement quality gates, monitoring tools, and validation methods that enforce trustworthy and reproducible datasets.
  • Design, maintain, and optimize well-structured, production-grade data assets, ensuring compliance with SLAs and data health standards.
  • Conduct root-cause analysis to identify and resolve data issues efficiently, enhancing data reliability.
  • Collaborate closely with analytics and business teams to translate requirements into verifiable data contracts and measurable quality outcomes.
  • Improve documentation, observability, and alerting mechanisms to facilitate proactive data quality management.
  • Integrate testing frameworks into CI/CD workflows, applying best QA practices to data engineering.

You're ideal for this role if you have:

  • At least 3 years of experience in data engineering within retail or e-commerce sectors.
  • Strong proficiency in SQL and data modeling, with familiarity in schema validations, constraints, and custom test logic.
  • Hands-on experience with data quality testing, anomaly detection, and monitoring practices.
  • Practical knowledge of CI/CD pipelines, version control, and integrating testing into workflows.
  • Experience or interest in dbt and Snowflake (beneficial but not mandatory).
  • Skills in debugging, performance tuning, and incident resolution in data pipelines.
  • Knowledge of Azure Data Factory, Azure Data Bricks, and Azure SQL Database (must-have).
  • Experience with ETL/ELT processes, Python, Terraform, and cloud data environments.
  • Understanding of data modeling methodologies (Kimball, Inmon, Data Vault).
  • Good communication skills and the ability to work effectively with both technical and non-technical stakeholders.

It is a strong plus if you have:

  • Exposure to Power BI, Tableau, Spotfire.
  • Experience with predictive modelling.
  • Familiarity with security, privacy, and compliance issues in data environments.

Eligibility to work in Europe:

  • Only candidates with an existing legal right to work in the European Union will be considered for this role.

Interested? Apply now and include your CV in English, along with a statement confirming your consent to the processing and storage of your personal data.

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