Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Engineer

Qodea
Swindon
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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), Microsoft Azure, 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

Financial:

  • Competitive base salary
  • Matching pension scheme (up to 5%) from day one
  • Discretionary company bonus scheme
  • 4 x annual salary Death in Service coverage from day one
  • Employee referral scheme

Health and Wellbeing:

  • Private medical insurance from day one
  • Help@Hand app: access to remote GPs, second opinions, mental health support, and physiotherapy
  • EAP service
  • Cycle to Work scheme

Time Off and Flexibility:

  • 36 days annual leave (inclusive of bank holidays)
  • An extra paid day off for your birthday
  • Ten paid learning days per year
  • Flexible working hours
  • Market-leading parental leave
  • Sabbatical leave (after five years)
  • Work from anywhere (up to 3 weeks per year)

Development and Recognition:

  • Industry-recognised training and certifications
  • Bonusly employee recognition and rewards platform
  • Clear opportunities for career development
  • Length of Service Awards

Extra Perks:

  • Regular company events
  • Tech Scheme

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 or connect with us on LinkedIn via our Qodea Company Page.
#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.