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For Companies At a Glance
- Tasks: Design and build scalable data platforms and pipelines to unlock insights.
- Company: Join a growth-focused tech company revolutionising data-driven services.
- Benefits: Competitive salary, remote work, training budget, and extensive benefits package.
- Why this job: Shape a modern data platform and make a real impact on business decisions.
- Qualifications: Degree in Computer Science or equivalent experience; 2-4 years with SQL and Java.
- Other info: Dynamic, agile environment with a focus on continuous improvement and ownership.
The predicted salary is between 42000 - 66000 £ per year.
Hayward Hawk is currently recruiting for a rare opportunity to join a product-led, growth-focused technology business that is investing heavily in its data platform and analytics capability. The organisation is building the next generation of data-driven services to support a fast-growing, merchant-first ecosystem. The mission is simple: deliver real value, responsibly and at pace. Small, empowered teams. Clear outcomes. No unnecessary process. Just smart people solving real problems.
You will join a modern engineering environment where data is treated as a product, not an afterthought. This role sits at the heart of a wider transformation designing and building scalable, cloud-native data platforms that unlock insight, improve decision-making, and power the next phase of growth.
The Opportunity
As a Data Engineer, you will help design and deliver robust, high-performance data pipelines and data platforms across a diverse set of sources and systems. You will work closely with engineers, analysts, product and delivery teams to turn complex data into trusted, usable assets for the business. This is a hands-on role with real ownership: from ingestion and transformation, through to modelling, performance, reliability and quality. You will thrive here if you enjoy building things properly, improving how systems work, and taking responsibility for what you ship.
What You Will Be Doing
- Designing, building and maintaining scalable data platforms, cloud-native workflows and ETL/ELT pipelines
- Transforming and modelling data to support analytics, reporting and operational use cases
- Improving data quality, performance and reliability across the platform
- Monitoring, troubleshooting and resolving pipeline and data issues (including on-call when needed)
- Prototyping analytical tools, automation and solutions for complex business problems
- Collaborating with BI, Finance and wider engineering teams to deliver high-impact data solutions
- Creating clear technical documentation and contributing to engineering best practices
- Working in an agile, product-focused delivery environment with a strong culture of continuous improvement
What They Are Looking For
- A degree in Computer Science (or similar technical discipline), or equivalent practical experience
- 2-4 years experience working with SQL (e.g. Oracle, PostgreSQL or similar)
- 2-4 years experience with Java or Groovy
- Experience with orchestration and ingestion tools (e.g. Airflow, Airbyte or similar)
- Experience working with APIs (REST / SOAP)
- Exposure to cloud data warehouses and ETL/ELT tools (e.g. Snowflake, Redshift, dbt) is a plus
Why This Role?
Because this isn't about maintaining someone else's legacy stack. It's about helping shape a modern data platform, influencing how data is used across the business, and being part of a team that values outcomes over noise, ownership over hand-offs, and quality over shortcuts.
What You Will Get in Return:
- Competitive Salary up to £55,000
- Remote working within the UK
- Training and Development budget
- Extensive benefits Package!
If you want a role where you can grow, build, and genuinely make an impact this one is worth a conversation. Reach out to Aaron Pyper for more info.
Data Engineer employer: Hayward Hawk
Contact Detail:
Hayward Hawk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and cloud-native platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Be ready to discuss your experience with SQL, Java, and any orchestration tools you've used—this is your chance to shine!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our awesome team at StudySmarter.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your experience with SQL, Java, and any cloud data platforms you've worked with. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can help shape our modern data platform. Share specific examples of your past work that align with our goals. This is your chance to stand out!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them. We love seeing hands-on experience, especially with data pipelines and analytics tools. It shows us what you can bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It streamlines the process for us and ensures your application gets into the right hands. Don’t miss out on this opportunity!
How to prepare for a job interview at Hayward Hawk
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like SQL, Java, and any orchestration tools. Brush up on your knowledge of ETL/ELT processes and be ready to discuss how you've used these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data issues in previous roles. Think about specific challenges you faced, the steps you took to resolve them, and the impact your solutions had on the business.
✨Understand the Company’s Mission
Familiarise yourself with the company’s focus on building data-driven services. Be ready to discuss how your experience aligns with their mission of delivering real value and how you can contribute to their growth-focused environment.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current data challenges, the team dynamics, or how they measure success in their data initiatives. This demonstrates your enthusiasm and engagement.
