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

View Open Roles

Lead Data Engineer

New Day
London
1 week ago
Create job alert

What you will deliver

  • Lead and Mentor: Lead, manage, and mentor a team of 3-6 data engineers, fostering a collaborative and high-performing environment.
  • Technical Vision & Ownership: Own and define the technical vision, providing architectural guidance and best practices for data modelling, ETL/ELT processes, data warehousing, and data lake solutions.
  • Collaboration & Stakeholder Management: Work closely with Product Owners, Business Analysts, and other stakeholders to understand requirements, translate them into technical specifications, and ensure successful delivery of data solutions.
  • Hands-on Development: Be a hands-on contributor to the design, development, and maintenance of scalable data pipelines and platforms, leveraging a modern data stack.
  • Data Quality & Testing: Implement and champion robust testing strategies for data pipelines, including unit testing, integration testing, and data quality checks, to ensure accuracy, reliability, and completeness of data.

Your Skills and Experience

Essential

  • Extensive Data Engineering Experience: Proven experience as a Senior or Lead Data Engineer, with a strong track record of designing, building, and maintaining complex data pipelines and platforms.
  • Technical Expertise:
    • Languages: Strong proficiency in Python and SQL.
    • Cloud Platform: Hands-on experience with AWS services (EMR, Athena, Lambda, S3, Glue, Step Functions).
    • Data Warehousing: In-depth experience with Snowflake.
    • Big Data Processing: Experience with Spark and familiarity with Scala (even if limited).
    • Orchestration: Solid experience with Airflow for workflow orchestration.
    • Data Transformation: Hands-on experience with DBT (Data Build Tool).
    • Version Control: Proficient with Git and GitHub, including experience with GitHub Actions for CI/CD.
  • Leadership & Management:
    • Demonstrated experience in leading, mentoring, and managing a team of data engineers.
    • Ability to motivate and inspire a team, fostering a culture of continuous learning and excellence.
    • Strong communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.

Desirable

  • Real-time data processing
  • Data governance and data quality frameworks
  • Data operations and observability

We work with Textio to make our job design and hiring inclusive.

Permanent
#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 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.