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

View Open Roles

Data Platform Engineer

City of London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Hadoop Engineer ODP Platform

Data Platform Lead (Snowflakes)

AWS Data Engineer - £120,000

Data Engineer - Gen AI - £140,000

Data Engineer - Gen AI - Remote

Data Engineer - AI - Remote

Data Platform Engineer
London - Hybrid
£80,000-£90,0000 + 38 Days Holiday + Private Healthcare + Life Assurance + Flexible Working + Pension + Package

Excellent opportunity for a Data-focused Site Reliability Engineer or a Data Platform Engineer with some DevOps principals to join a forward-thinking and high-growth Fintech company offering a hybrid work environment, a great benefits package, and opportunities for further progression!

This company are a bleeding-edge technology business driving innovation across the global financial services sector. Their platform processes vast amounts of real-time and batch data, supporting business critical reporting and analytics. With a strong culture rooted in integrity, creativity, and technical excellence, they've become a trusted partner across a wide range of businesses.

In this role you'll take ownership of the reliability and performance of large-scale date pipelines built on AWS, Apache Flink, Kafka, and Python. You'll play a key role in diagnosing incidents, optimising system behaviour, and ensuring reporting data is delivered on time and without failure.

The ideal candidate will have a strong experience working with streaming and batch data systems, a solid understanding of monitoring a observability, and hands-on experience working with AWS, Apache Flink, Kafka, and Python.

This is a fantastic opportunity to step into a SRE role focused on data reliability in a modern cloud native environment, with full ownership of incident management, architecture, and performance.

The Role:
*Maintaining and monitoring real-time and batch data pipelines using Flink, Kafka, Python, and AWS
*Act as an escalation point for critical data incidents and lead root cause analysis
*Optimising system performance, define SLIs/SLOs, and drive reliability
*Woking closely with various other departments and teams to architect scalable, fault-tolerant data solutions

The Person:
*Experience in a data-focused SRE, Data Platform, or DevOps role
*Strong knowledge of Apache Flink, Kafka, and Python in production environments
*Hands-on AWS experience with AWS (Lambda, EMR, Step Functions, Redshift, etc.)
*Comfortable with monitoring tools, distributed systems debugging, and incident response

Reference Number: BBBH(phone number removed)

To apply for this role or for to be considered for further roles, please click "Apply Now" or contact Tommy Williams at Rise Technical Recruitment.

Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles.

The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates

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 Engineering Jobs: The Best Months to Apply & Why

The UK's data engineering sector has evolved into one of Europe's most dynamic and rewarding technology markets, with roles spanning from ETL developers to platform architects and machine learning engineers. With data engineering positions commanding salaries from £32,000 for junior data engineers to £130,000+ for senior principal engineers, understanding when organisations actively recruit can significantly accelerate your career progression in this rapidly expanding field. Unlike traditional software development roles, data engineering hiring follows distinct patterns influenced by business intelligence cycles, data modernisation initiatives, and analytics platform deployments. The sector's unique combination of technical complexity, business impact requirements, and emerging technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in building tomorrow's data infrastructure. This comprehensive guide explores the optimal timing for data engineering job applications in the UK, examining how enterprise data strategies, regulatory reporting cycles, and technology modernisation programmes influence recruitment patterns, and why strategic timing can determine whether you join a scaling data consultancy or miss the opportunity to architect the next generation of data platforms.

Jobs

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

The data engineering sector in the UK has become the foundation of modern data-driven organisations, with professionals designing and maintaining the critical infrastructure that enables artificial intelligence, machine learning, and business intelligence capabilities. As companies increasingly recognise data as their most valuable asset, employers are implementing comprehensive pre-employment screening processes to ensure they recruit professionals capable of managing complex data pipelines whilst maintaining the highest standards of data governance, security, and regulatory compliance. Whether you're a data platform engineer, ETL developer, data warehouse architect, or big data specialist, understanding the extensive vetting requirements is essential for successfully advancing your career in this data-critical field. This comprehensive guide explores the various background checks and screening processes you'll encounter when applying for data engineering positions in the UK, from fundamental eligibility verification to specialised data protection compliance and technical competency assessments.

Careers

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

The United Kingdom is experiencing a data revolution that's fundamentally transforming how businesses operate, innovate, and compete in the global economy. From the AI initiatives driving London's fintech sector to the smart city projects reshaping Manchester and Birmingham, Britain's insatiable appetite for data-driven insights has created an unprecedented demand for skilled data engineers that far exceeds the available talent pool. If you've been considering a career transition or seeking to position yourself at the forefront of the digital economy, data engineering represents one of the most lucrative, future-proof, and intellectually rewarding career paths available today. The convergence of big data explosion, AI adoption, cloud transformation, and regulatory compliance has created perfect conditions for data engineering 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.