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

View Open Roles

Junior Data Engineer

Broadbean Technology
Greater London
1 month ago
Applications closed

Related Jobs

View all jobs

Junior Data Engineer

Junior Data Engineer - Financial Data Platform

Data Engineer

Jr Data Engineer

Sr. Data Engineers to work with data from across the spectrum of healthcare domains, refining requirements with customers, developing data models, extracting data from various source systems and database formats

Senior Data Engineer (Snowflake)

Robert Half Technology are assisting a market leading financial services organisation to recruit a Junior Data Engineer. Hybrid working - London based

Role

  • The Junior Data Engineer will assist in the design, development, and maintenance of scalable data pipelines and ETL/ELT processes in Azure.
  • Write efficient and reliable SQL queries for data extraction, transformation, and analysis.
  • Support data integration from various sources (internal systems, third-party vendors) into centralised data platforms.
  • Monitor and troubleshoot data jobs and pipelines to ensure consistent and reliable delivery.
  • Collaborate with analytics and reporting teams to deliver high-quality datasets for business intelligence.
  • Participate in code reviews, documentation, and team discussions as part of a collaborative engineering culture.
  • Ensure data quality, integrity, and security best practices are upheld.

Profile

  • The Junior Data Engineer will ideally have a degree in Computer Science, Engineering, Mathematics, or a related field.
  • 1-3 years of experience in a data engineering, data analytics, or software engineering role.
  • Proficient in SQL for querying, data manipulation, and performance tuning.
  • Hands-on experience with Azure Data Services (such as Azure Data Factory, Azure Synapse, Data Lake, or Logic Apps).
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills and a collaborative mindset.

Nice To Have

  • Experience with Python for data transformation, scripting, or automation tasks.
  • Familiarity with Snowflake or other modern cloud data warehouses.
  • Exposure to investment management, financial services, or regulated environments.
  • Understanding of data modelling, governance, and best practices in data architecture.

Company

  • Market leading financial services organisation with offices in London
  • Hybrid working - London based

Salary & Benefits

The salary range/rates of pay is dependent upon your experience, qualifications or training.

Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:roberthalf.com/gb/en/privacy-notice.

S2F6aW0uSGFzc2FuLjI0MzA1LjEyMjcxQHJoaS5hcGxpdHJhay5jb20.gif

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.

Jobs

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Jobs

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.

Careers

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.