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- Tasks: Design and build scalable data solutions that drive impactful business outcomes.
- Company: Join a forward-thinking client focused on modern data engineering.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of data platforms and solve complex challenges.
- Qualifications: 4+ years in SQL, Java or Groovy, and experience with cloud data solutions.
- Other info: Collaborative environment with a focus on mentorship and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
We are recruiting on behalf of a client seeking a Senior Data Engineer to help build and mature a modern data engineering function. This role offers the opportunity to design and implement a centralized enterprise data warehouse that serves as a single source of truth across the business.
You’ll work within small, empowered teams, owning data solutions end to end and partnering closely with product, analytics, finance, and engineering stakeholders to deliver high-impact, data-driven outcomes.
Key Responsibilities- Design, build, and optimize scalable ETL/ELT pipelines and cloud-native data workflows
- Develop and maintain resilient, high-performance data architectures
- Transform, model, and curate data to support analytics, reporting, and insights
- Improve data quality, reliability, monitoring, and system performance
- Collaborate cross-functionally to gather requirements and deliver solutions
- Identify bottlenecks, troubleshoot issues, and support platform scalability
- Provide technical leadership and mentorship within the data team
- Bachelor’s degree in Computer Science or equivalent experience
- 4+ years of advanced SQL experience (e.g., Oracle, PostgreSQL)
- 4+ years of experience with Java or Groovy
- Experience integrating with REST/SOAP APIs
- Hands-on experience with dbt and data modeling
- Strong understanding of modern data platforms, distributed systems, and cloud concepts
- Experience with CI/CD, version control, and automated testing
- Agile delivery experience with strong communication and ownership mindset
- Experience with Snowflake or similar analytics platforms
- Enterprise data warehouse design experience
This is an excellent opportunity for a proactive, consultative engineer who enjoys solving complex problems and shaping data platforms at scale.
Senior Data Engineer employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving ETL/ELT pipelines or cloud-native workflows. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data architecture knowledge. Be ready to discuss your experience with modern data platforms and how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SQL, Java, and any relevant data platforms. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've designed or optimised ETL/ELT pipelines. We love seeing real examples of your work that demonstrate your problem-solving skills and technical leadership.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your achievements. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Harrington Starr
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering, especially around ETL/ELT processes and cloud-native workflows. Brush up on your SQL skills and be ready to discuss how you've optimised data architectures in past roles.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've solved in previous positions. Highlight your experience with troubleshooting and improving data quality, as this will demonstrate your ability to handle challenges effectively.
✨Collaborate Like a Pro
Since this role involves working closely with various stakeholders, be ready to discuss how you’ve collaborated cross-functionally in the past. Share specific instances where your communication skills led to successful project outcomes.
✨Get Familiar with Their Tech Stack
Research the tools and technologies mentioned in the job description, like dbt, Snowflake, and CI/CD practices. Being knowledgeable about their tech stack will show your genuine interest in the role and help you stand out.
