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For Companies At a Glance
- Tasks: Design and build scalable data pipelines for analytics and AI.
- Company: Leading global data consultancy with a collaborative culture.
- Benefits: Flexible working arrangements, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and transform data into impactful solutions.
- Qualifications: Strong SQL skills and 5+ years in data engineering or consulting.
- Other info: Remote or hybrid work options available for a better work-life balance.
The predicted salary is between 36000 - 60000 £ per year.
Data Engineer – UK (Remote or Hybrid)
HD-Tech are happy to be partnering with a leading global data consultancy to recruit a talented Data Engineer for their UK team.
Do you enjoy solving complex data puzzles, transforming messy information into clarity, and building systems that just work? Are you someone who loves discussing data pipelines, cloud platforms, and automation—but also values collaboration, curiosity, and doing great work alongside great people? If so, this could be the perfect opportunity for you.
This consultancy helps organisations turn data into something powerful, useful, and impactful. As a Data Engineer, you’ll play a central role in designing and building scalable, modern data systems that empower better decision-making. You’ll collaborate with analysts and consultants to unify disparate data sources, create reliable pipelines, and lay the foundations for analytics, AI, and machine learning.
If you’re looking for a role that combines technical challenge, autonomy, and a positive team culture—this is it.
Key Responsibilities
- Design and develop modern, scalable data pipelines to support analytics and business intelligence initiatives.
- Build and automate cloud-native data infrastructure that enables advanced analytics, AI, and ML.
- Integrate and transform data from a variety of sources including SQL databases, APIs, and cloud storage.
- Develop and maintain ETL/ELT processes and frameworks to ensure performance and code quality.
- Apply strong data modelling principles to deliver clean, well-structured data for reporting and analysis.
- Collaborate with internal teams and clients to understand requirements and deliver practical, elegant solutions.
- Document processes, contribute to design discussions, and share knowledge with peers.
- Bring a proactive, problem-solving mindset to every challenge.
Required Skills & Experience
- Strong SQL skills and solid experience with ETL/ELT development (tool-based or code-based).
- Good understanding of data modelling, data quality, and governance best practices.
- Familiarity with DevOps concepts and CI/CD pipelines.
- Excellent communication skills—able to explain complex ideas clearly to non-technical audiences.
- 5+ years of professional experience in data engineering or technical consulting.
- Comfortable working in a dynamic, fast-evolving environment.
- A passion for learning and applying new technologies.
Desirable Skills
- Experience with major cloud platforms such as Azure, AWS, or GCP.
- Exposure to tools such as Matillion, Fivetran, dbt, or Snowflake.
- Familiarity with modern data warehouse environments (e.g. BigQuery, Redshift, Databricks).
- Knowledge of Python or other scripting languages for automation.
- Interest in AI and its growing role within data engineering.
- Previous experience in software engineering or integration.
Location
UK-based (Remote or Hybrid).
Flexible working arrangements are available depending on your situation.
Data Engineer employer: HD Tech Recruitment
Contact Detail:
HD Tech Recruitment 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 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 to a great role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and cloud 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 SQL and ETL/ELT knowledge. Be ready to discuss your past experiences and how you've tackled complex data challenges. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to join our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Engineer role. Highlight your SQL skills, ETL/ELT experience, and any cloud platform familiarity. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you enjoy solving complex puzzles. Let us know why you're excited about this opportunity and how you can contribute to our team.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with data pipelines, automation, or cloud infrastructure. We love seeing practical examples of your skills in action.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it’s super easy—just a few clicks and you’re done!
How to prepare for a job interview at HD Tech Recruitment
✨Know Your Data Inside Out
Before the interview, brush up on your SQL skills and be ready to discuss your experience with ETL/ELT processes. Be prepared to share specific examples of how you've transformed messy data into clean, usable formats, as this will show your technical prowess.
✨Showcase Your Problem-Solving Skills
Think of a few complex data challenges you've faced in the past and how you tackled them. During the interview, articulate your thought process clearly, demonstrating your proactive mindset and ability to find elegant solutions to tough problems.
✨Communicate Clearly and Confidently
Since you'll need to explain complex ideas to non-technical audiences, practice simplifying your explanations. Use analogies or relatable examples to make your points clear, showing that you can bridge the gap between technical and non-technical stakeholders.
✨Emphasise Collaboration and Curiosity
Highlight your experiences working in teams and how you value collaboration. Share instances where you've worked closely with analysts or consultants to unify data sources, as this aligns perfectly with the consultancy's focus on teamwork and curiosity.
