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

View Open Roles

Lead Data Engineer

Qodea
London
1 week ago
Create job alert

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 Engineering Team Lead to engage with enterprise-level organisations to offer a consultative view and direction on best practice data architecture using Google Cloud solutions.

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 lead a team of highly talented Data Engineering Consultants, ensuring they are motivated and have the tools and training to perform their roles to a high standard.

What You’ll Do

Lead and inspire an experienced team of data engineers and scientists:

  • Carry out one-to-ones with your team members to discuss any issues they’re facing, provide support and encouragement and discuss their career goals.
  • Design L&D KPIs for your team, helping to grow their skills over time and scale your own knowledge and experience
  • Keep on top of administrative duties relating to team leadership - performance reviews, absence management, arranging team-building events etc.
  • Play an active role in the recruitment process to bring new people into the business.

Lead client engagements and project delivery:

  • Lead client engagements and team lead on client-facing delivery projects
  • Consult, design, coordinate architecture to modernise infrastructure for performance, scalability, latency, and reliability
  • Identify, scope, and participate in the design and delivery of cloud data platform solutions

Deliver highly scalable big data architecture solutions using Google Cloud Technology:

  • Create and maintain appropriate standards and best practices around Google Cloud SQL, BigQuery, and other data technologies
  • Design and execute a platform modernization approach for customers' data environments
  • Document and share technical best practices/insights with engineering colleagues and the Data Engineering community
  • Mentor and develop engineers within the Qodea Data Team and within our customers' engineering teams
  • Act as the point of escalation with client-facing problems that need solving

What You’ll Need to Succeed

  • Strong experience as a Lead / Principal Cloud Data Engineer, with a solid track record of migrating large volumes of of data through the use of cloud data services and modern tooling
  • Experience of leading teams of engineers
  • Experience in performing a technical leadership role on projects and contributing to technical decision making during in-flight projects.
  • A track record of being involved in a wide range of projects with various tools and technologies, and solving a broad range of problems using your technical skills.
  • Demonstrable experience of utilising strong communication and stakeholder management skills when engaging with customers
  • Significant experience of coding in Python and Scala or Java
  • Experience with big data processing tools such as Hadoop or Spark
  • Cloud experience; GCP specifically in this case, including services such as Cloud Run, Cloud Functions, BigQuery, GCS, Secret Manager, Vertex AI etc.
  • Experience with Terraform
  • Prior experience in a customer-facing consultancy role would be highly desirable
  • Experience in working with agile software engineering teams

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, based on performance and ongoing development.

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

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer...

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 Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

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

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.