At a Glance
- Tasks: Design and enhance big data platforms using open-source technologies for cybersecurity.
- Company: Join a leading cybersecurity and analytics team in South Yorkshire.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and teamwork.
- Why this job: Make a real impact on cybersecurity while working with cutting-edge technology.
- Qualifications: Experience with big data platforms and strong collaboration skills required.
The predicted salary is between 70000 - 90000 £ per year.
Whitehall Resources are currently looking for a OpenSource Data Platform Solution Engineer in South Yorkshire for an initial 12-month contract.
Job Spec
Cybersecurity Sciences & Analytics (CSA) is a ~$50m and ~150 headcount function, bringing together expertise across cybersecurity, data science, AI, software and cloud engineering, governance, and programme management to:
- Deliver cyber analytics capabilities that measurably improve cyber prevention, control effectiveness, and the resilience of operations across the cyber lifecycle.
- Engineer, automate, and continuously enhance cyber detection and response capabilities to enable effective, resilient, and scalable security operations.
- Provide trusted Cyber risk, control, and regulatory insights that inform executive decision‐making and investment prioritization.
- Ensure cyber products, data, and bank‐wide AI use cases comply with cyber risk appetite, regulatory requirements, and data standards, through effective data and AI governance.
- Evolve Cyber analytics platforms, products, and engineering practices through a controlled maturity roadmap, to improve platform and operational resilience, efficiency, and sustainability without increasing risk.
- Define and maintain architecture artefacts, including HLDs/LLDs, reference architectures, patterns, ADRs (Architecture Decision Records), and reusable templates.
- Contribute to the design and evolution of a petabyte‐scale data platform built on open‐source technologies.
- Evaluate technologies and drive standardisation: assess OSS components and vendors, run PoCs, document trade‐offs, and promote reusable patterns to reduce fragmentation.
- Own the end‐to‐end solution design for custom‐built applications that support the Bank's cybersecurity ambition.
- Provide architecture and design input to software engineering and platform teams to support implementation and delivery.
- Partner with central architecture and governance teams to ensure solutions align with the Bank's controls, policies, standards, and guardrails.
- Help ensure solutions remain compliant, operationally supportable, and within agreed cost boundaries.
Person requirements
- Strong team player, able to collaborate effectively with colleagues across geographies, time zones, and cultures.
- Excellent written and verbal communication skills, with the ability to explain complex technical topics clearly.
- Able to influence without authority; confident facilitating design workshops and governance forums.
- Strong prioritisation and pragmatic decision‐making, balancing target architecture with delivery realities.
- Comfortable designing solutions end‐to‐end, while also able to roll up sleeves and contribute hands‐on (including coding where needed).
Required skills
- Demonstrable experience designing, deploying, and operating big data platforms at scale.
- Hands‐on experience with OSS data ecosystems (e.g., Spark, Trino, Airflow, Apache Superset, and similar technologies).
- Knowledge of cloud platforms and traditional on‐premise hosting; hands‐on experience with Azure, AWS and/or GCP is beneficial.
- Proven security architecture expertise, including:
- Threat modelling and secure‐by‐design practices.
- IAM (RBAC/ABAC), privileged access concepts, and service‐to‐service authentication.
- Encryption in transit/at rest, key management, secrets management.
- Secure logging/telemetry, auditability, and evidence‐driven control assurance.
- Secure SDLC, vulnerability management, and dependency/supply‐chain risk controls.
- Proven experience delivering end‐to‐end solution designs, from requirements through to production operations and support.
Opensource Data Platform Solution Engineer in Sheffield employer: Whitehall Resources
At Whitehall Resources, we pride ourselves on being an exceptional employer, offering a dynamic work environment in South Yorkshire that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a culture that values diverse perspectives, ensuring that our team members thrive both personally and professionally. Join us to be part of a forward-thinking organisation where your contributions directly impact the future of cybersecurity and data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Opensource Data Platform Solution Engineer in Sheffield
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We think you need these skills to ace Opensource Data Platform Solution Engineer in Sheffield
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Whitehall Resources, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Whitehall Resources, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Whitehall Resources’s attention and show the tangible impact of your work.
How to prepare for a job interview at Whitehall Resources
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Whitehall Resources.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Whitehall Resources.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Whitehall Resources.
