Data Engineer

Job Description

Join Europe's leading, high-growth Google Cloud consultancy. At Qodea, you’ll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We’re driven by ideas and powered by our people.

We are looking for a Data Engineer with skills in cloud platforms (GCP/AWS/Azure), SQL and a programming language (python ideally). 

We really value in-person collaboration, so we're looking for you to spend at least 60% of your time on-site. This means being at our company offices or at a client's site.

How You’ll Shape Our Success

The purpose of this role is to design, build, and maintain scalable data pipelines and infrastructure that enable the efficient processing and analysis of large, complex data sets.

What You’ll Do

Develop and maintain automated data processing pipelines using Google Cloud:

• Design, build, and maintain data pipelines to support data ingestion, ETL, and storage
• Build and maintain automated data pipelines to monitor data quality and troubleshoot issues

Implement and maintain databases and data storage solutions:

• Stay up-to-date with emerging trends and technologies in big data and data engineering
• Ensure data quality, accuracy, and completeness

Implement and enforce data governance policies and procedures to ensure data quality and accuracy:

• Collaborate with data scientists and analysts to design and optimise data models for analytical and reporting purposes
• Develop and maintain data models to support analytics and reporting
• Monitor and maintain data infrastructure to ensure availability and performance

Requirements

What You’ll Need to Succeed

• Experience with cloud platforms such as Amazon Web Services (AWS) or Google Cloud Platform (GCP).
• Proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle.
• Experience with big data technologies such as Hadoop, Spark, or Hive.
• Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow.
• Proficiency in at least one programming language such as Python, Java, or Scala.
• Strong analytical and problem-solving skills with the ability to work independently and in a team environment.

How You’ll Grow

• Exceptional performance in this role can lead to advancement opportunities within our career framework or internal opportunities with other business areas, aligned with your career aspirations and business needs.
• Potential career development could include progression to the next level or cross-skilling into related roles, such as senior in our Data&AI department, based on performance and ongoing development.

Benefits

• We are a team of passionate people who genuinely care about what they do and the standard of work they produce

• Whilst we’re remote first, we have two hubs in Portugal: Lisbon and Porto
• 25 days’ annual leave, Juneteenth, your birthday off, and a paid office closure between Christmas and New Year's.
• Health insurance
• 15 days of paid sickness and wellness days
• A generous learning and development budget and an annual leadership development programme
• A strong company culture that includes weekly meetings, company updates, team socials, and celebrations
• In-house DE&I council and mental health first-aiders

Diversity and Inclusion Statement

At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all. If you feel we can improve in any way, please reach out to our careers team via email at [email protected] or connect with us on LinkedIn via our Qodea Company Page.