At a Glance
- Tasks: Lead engineering and operations of large-scale enterprise data platforms.
- Company: Join a forward-thinking company focused on data innovation.
- Benefits: Competitive salary, potential for permanent role, and career advancement.
- Other info: Dynamic role with opportunities for growth and transformation.
- Why this job: Shape the future of data platforms and drive impactful change.
- Qualifications: Experience in data engineering, cloud platforms, and team leadership.
The predicted salary is between 70000 - 90000 £ per year.
Our client is seeking a technically credible and commercially astute Senior Manager – Big Data Engineering & Platforms to lead the engineering, operations, and strategic evolution of a large-scale enterprise data platform estate. As the leader of the Data Engineering & Platforms function, you will own the end-to-end lifecycle of critical data platforms that process, govern, and serve enterprise data at scale.
You will lead multidisciplinary teams responsible for platform engineering, data engineering, operational support, and programme delivery while driving engineering maturity, operational excellence, and cloud optimisation across the estate.
You will typically have experience in:
- Enterprise-scale Data Lakes, Data Warehouses, Lakehouse architectures, or modern cloud data platforms.
- Leading data engineering and platform engineering teams supporting mission-critical environments.
- Cloud-native ecosystems such as AWS, Azure, or GCP.
- Large-scale distributed data processing technologies including Spark, Databricks, Hadoop, Kafka, or equivalent modern platforms.
- Data integration, ETL/ELT frameworks, streaming architectures, and real-time data processing.
- Platform observability, monitoring, logging, and operational analytics.
- Reliability engineering, incident management, and operational governance.
- FinOps, cloud optimisation, and technology budget ownership.
- Enterprise delivery frameworks including SAFe, Agile, DevOps, and product-centric operating models.
Key Responsibilities
- Data Platform Strategy & Architecture: Define and execute the long-term strategy for enterprise data platforms, including Data Lake, analytics, and campaign management capabilities.
- Engineering Leadership: Lead multiple teams responsible for data engineering, platform engineering, operational support, and programme delivery.
- Platform Reliability & Operations: Own operational performance of enterprise data platforms, ensuring service availability, scalability, resilience, and recoverability.
- Cloud & FinOps: Drive cloud cost optimisation and FinOps practices across large-scale data workloads.
- Enterprise Delivery: Lead complex, multi-team technology programmes delivering strategic platform enhancements and transformation initiatives.
12 months FTC with view to permanent/extension.
Big Data Senior Manager – Data Engineering & Platforms - £110k+ : 12month FTC in Slough employer: Hunter Bond
Join a forward-thinking organisation that prioritises innovation and excellence in the realm of data engineering. As a Senior Manager, you will thrive in a collaborative work culture that values your expertise and encourages professional growth through diverse projects and cutting-edge technologies. With competitive compensation and a focus on cloud optimisation, this role offers a unique opportunity to lead impactful initiatives within a dynamic enterprise environment.
StudySmarter Expert Advice🤫
We think this is how you could land Big Data Senior Manager – Data Engineering & Platforms - £110k+ : 12month FTC in Slough
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Hunter Bond before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Hunter Bond.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Hunter Bond.
We think you need these skills to ace Big Data Senior Manager – Data Engineering & Platforms - £110k+ : 12month FTC in Slough
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Hunter Bond, 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 Hunter Bond, 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 Hunter Bond’s attention and show the tangible impact of your work.
How to prepare for a job interview at Hunter Bond
✨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 Hunter Bond.
✨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 Hunter Bond.
✨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 Hunter Bond.
