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For Companies At a Glance
- Tasks: Shape and deliver a modern data strategy while building scalable data pipelines.
- Company: Ambitious, values-led organisation focused on using data for good.
- Benefits: Competitive salary, fully remote work, and opportunities for technical growth.
- Why this job: Make a genuine impact by turning data into actionable insights.
- Qualifications: 2+ years in data engineering with strong SQL and cloud experience.
- Other info: Supportive environment with real runway for personal and professional development.
The predicted salary is between 36000 - 60000 £ per year.
A high visibility opportunity to join an ambitious, values led organisation as it refreshes its data strategy and modernises its intelligence platform. You’ll be trusted early, work closely with stakeholders, and help build the foundations that drive better insight, smarter decisions, and genuine impact, using data for good.
This role is well suited to someone early in their data engineering journey, around 2+ years’ experience, who’s ready to step up. You’ll join a supportive, encouraging environment with real runway to grow technically, while gradually developing ownership and leadership as your influence across the business increases.
What you’ll be doing:
- Helping shape and deliver a refreshed data strategy and modern analytics platform
- Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar
- Designing and optimising core data models that are dimensional, analytics-ready, and built to last
- Creating trusted data products that enable self-service analytics across the organisation
- Improving data quality, monitoring, performance, and cost efficiency
- Partnering with analysts, BI teams, and non-technical stakeholders to turn questions into robust data assets
- Contributing to engineering standards, best practice, and reusable frameworks
- Supporting responsible AI tooling, including programmatic LLM workflows where appropriate
What you’ll bring:
- 2+ years’ experience in data engineering within a modern data stack
- Strong SQL with a solid foundation in data modelling
- Python preferred, or similar, for pipeline development and automation
- Cloud experience across AWS, Azure, or GCP
- Familiarity with orchestration and analytics engineering tools such as dbt, Airflow, or equivalents
- Good habits around governance, security, documentation, version control (Git), and CI/CD
The kind of person who thrives here:
Confident, curious, and motivated. You care about doing things properly, enjoy being trusted and visible in the business, and are genuinely interested in using data to create positive outcomes.
Fully remote. No sponsorship, Post-Graduate Visa not supported.
Interested? Apply now.
Data Engineer - Remote in Kingston upon Hull employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Remote in Kingston upon Hull
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual 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 ELT/ETL pipelines or cloud data warehousing. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with data modelling and cloud platforms. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our values-led organisation.
We think you need these skills to ace Data Engineer - Remote in Kingston upon Hull
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your 2+ years in data engineering and any relevant projects you've worked on, especially those involving cloud data stacks or ELT/ETL pipelines.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role and how you can contribute to our data strategy. Share specific examples of how you've used data to drive insights or improve processes in your previous roles.
Showcase Your Technical Skills: Don’t forget to mention your strong SQL skills and any experience with Python or similar languages. If you've worked with tools like dbt or Airflow, make sure to include that too, as it shows you're ready to hit the ground running.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our team!
How to prepare for a job interview at Datatech Analytics
✨Know Your Data Stack
Make sure you’re well-versed in the modern data stack mentioned in the job description. Brush up on your SQL skills and be ready to discuss your experience with cloud platforms like AWS or Azure. Being able to talk confidently about ELT/ETL processes and tools like Snowflake or Databricks will definitely impress.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built data pipelines or optimised data models. Highlight any challenges you faced and how you overcame them. This not only shows your technical skills but also your problem-solving abilities, which is key for this role.
✨Understand Stakeholder Needs
Since the role involves partnering with analysts and non-technical stakeholders, think about how you can communicate complex data concepts in simple terms. Be ready to share examples of how you've turned questions into actionable data insights in previous roles.
✨Emphasise Your Growth Mindset
This position is perfect for someone looking to grow technically and take on more responsibility. Share your enthusiasm for learning new tools and techniques, and discuss any relevant courses or certifications you’ve pursued. Showing that you’re motivated and curious will resonate well with the interviewers.
