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

View Open Roles

Senior Data Engineer

RLDatix group
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

RLDatix Greater London, England, United Kingdom

RLDatix Greater London, England, United Kingdom

RLDatix is on a mission to transform care delivery worldwide, ensuring every patient receives the safest, highest-quality care. Through our innovative Healthcare Operations Platform, we're connecting data to unlock trusted insights that enable improved decision-making and help deliver safer healthcare for all.

At RLDatix we’re making healthcare safer, together. Our shared passion for meaningful work drives us, while a supportive, respectful culture makes it all possible. As a team, we collaborate globally to reach our ultimate goal—helping people.

We’re searching for a Senior Data Engineer to join our Data Platform team, so that we can build and maintain robust infrastructure for handling large-scale data processing and storage. The Senior Data Engineer will design and implement efficient data pipelines and storage solutions to ensure reliable and scalable data management within the company.

How You’ll Spend Your Time

  • Designing and implementing efficient ETL (Extract, Transform, Load) data pipelines to integrate data from multiple sources into centralized repositories.
  • Developing data lake solutions based on the medallion architecture (Bronze, Silver, Gold) to ensure structured data processing.
  • Implementing data governance and security policies within the data lake to maintain compliance and data integrity.
  • Automating data pipeline execution and monitoring to enhance efficiency and reduce manual intervention.
  • Developing and maintaining Python scripts for data processing, automation, and integration to streamline workflows.
  • Monitoring and troubleshooting data pipelines to detect and resolve issues, ensuring reliable data flow and minimal downtime.
  • Optimizing data storage and retrieval methods using indexing, partitioning, and caching techniques to enhance performance.
  • Implementing data security and privacy protocols, ensuring compliance with industry standards through encryption and access controls.


What Kind of Things We’re Most Interested in You Having

  • Extensive experience in a data-related role, with hands-on experience in large-scale data engineering, preferably Databricks.
  • Proven success in designing and maintaining complex data pipelines and storage solutions.
  • In-depth knowledge of programming languages, specifically Python and SQL.
  • Expertise in data management, data architecture, and data visualization techniques.
  • Experience with data processing frameworks like Apache Spark, Hadoop, or Flink.
  • Strong understanding of database systems (SQL and NoSQL) and data warehousing technologies.
  • Familiarity with cloud computing platforms (AWS, Azure) and data security measures.
  • Certification in data engineering (e.g., Certified Data Engineer, AWS Certified Big Data) is a plus.
  • A knack for working collaboratively within a cross-functional team environment.


By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. Key benefits include private health and group accident insurance, an Employee Assistance Program (EAP) for confidential support, and Loyalty Awards for long-service employees.

RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, national origin, disability, handicap, marital status or any other status or condition protected by law.

As part of RLDatix’s commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don’t hesitate to send a note to .

Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also taken into considerationSeniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesSoftware Development

Referrals increase your chances of interviewing at RLDatix by 2x

Sign in to set job alerts for “Senior Data Engineer” roles.

London, England, United Kingdom 1 hour ago

Senior Data Engineer | High Performing Systematic Hedge FundTeam Lead - Senior Analytics Engineer - Utilities

London, England, United Kingdom 1 day ago

Senior Software Engineer - Card Integrations - Visa / Mastercard

London, England, United Kingdom 7 hours ago

City Of London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 days ago

Senior Software Engineer, Robotics & Microscope Control

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 6 days ago

Grafana specialist - Senior Data Engineer/ Business Analyst. Trading Firm. 6 month rolling contract. £700/ Day Inside IR35. Hybrid 2/3 Days a week in Central London office.

Greater London, England, United Kingdom 4 hours ago

London, England, United Kingdom 2 weeks ago

Data Architect - Data Modelling - Dimensional - Relational - Data Vault

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

Isleworth, England, United Kingdom 2 weeks ago

Senior AI/ML Engineer (Data Science & Software Focus)

London, England, United Kingdom 1 week ago

Data Architect - Insurance / London Market Insurance

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 2 days ago

Senior Lead Software Engineer - Team Lead - Accelerator Business

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 days ago

Greater London, England, United Kingdom 1 day ago

Greater London, England, United Kingdom 3 days ago

Senior Data Analyst (Operations) - Enterprise Product

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 month ago

Senior Software Engineer (VP) – Equity Derivatives Technology

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 month ago

City Of London, England, United Kingdom 1 month ago

Data & AI Cloud Architect, AWS Professional Services

London, England, United Kingdom 1 week ago

Senior Lead Software Engineer- EMEA / APAC Energy Lead (Commodities)

London, England, United Kingdom 6 days ago

London, England, United Kingdom 3 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#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.

Jobs

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Jobs

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.

Careers

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.

🍪 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.