Data Engineer

AI overview

Design and maintain scalable data pipelines and infrastructure to enable efficient processing and analysis of large, complex datasets using cloud platforms and SQL.

Work where work matters.

Elevate your career at Qodea, where innovation isn't just a buzzword, it's in our DNA.

We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet.

You will join the exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.



Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you’ll be proud to tell your friends about.



Qodea is built for what’s next. An environment where your skills will evolve at the frontier of innovation and AI, ensuring continuous growth and development.



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

We look for people who embody:

Innovation to solve the hardest problems.

Accountability for every result.

Integrity always.

About The Role

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.

This role is designed for impact, and we believe our best work happens when we connect. While we operate a flexible model, we expect you to spend time on site (at our offices or a client location) for collaboration sessions, customer meetings, and internal workshops.

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 Success Looks Like

  • 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.

Benefits

We believe in supporting our team members both professionally and personally. Here's how we invest in you:

Culture and Environment

  • We are a team of passionate people who genuinely care about what they do and the standard of work they produce.
  • Collaborate with our two hubs in Portugal: Lisbon and Porto.
  • A strong company culture that includes weekly meetings, company updates, team socials, and celebrations.
  • In-house DE&I council and mental health first-aiders.

Time Off and Well-being

  • 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.

Growth and Development

  • A generous learning and development budget and an annual leadership development programme.

Diversity and Inclusion

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.

Perks & Benefits Extracted with AI

  • Health Insurance: Health insurance.
  • Learning Budget: A generous learning and development budget and an annual leadership development programme.
  • Paid sickness and wellness days: 15 days of paid sickness and wellness days.
  • Paid Time Off: 25 days’ annual leave, Juneteenth, your birthday off, and a paid office closure between Christmas and New Year's.

Qodea (formally Appsbroker CTS) is the largest Google Cloud-only digital consultancy in Europe. Our name marks the culmination of a journey which began with the merger of Appsbroker and CTS in 2023. Combining the words ‘code’ and ‘idea’, our name embodies the essence of who we are and what we do; providing tried and trusted digital solutions, whilst helping our clients look to the future and innovate. We’re looking for bright, passionate people to join us at the vanguard, delivering the most ambitious Google Cloud projects across AI, security, martech, data, and Workspace.With offices across Europe - including the UK, the Netherlands, Belgium, and Romania - the company works with global players in industries such as financial services & insurance, retail, telco & media, manufacturing & industry, and the public sector.As a values-driven, certified B Corporation, the company places a strong emphasis on delivering positive, sustainable impacts both for its clients and the wider world around them.

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