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- Tasks: Extract, transform, and automate data to drive performance improvements.
- Company: Established travel business with a focus on digital innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Great chance to take ownership and grow into a broader analytics role.
- Why this job: Join a lean team and shape data usage for impactful decision-making.
- Qualifications: Experience in data engineering and familiarity with SQL and analytics tools.
The predicted salary is between 40000 - 50000 £ per year.
Hertfordshire (Hybrid, 2 days in the office). I’m working with a well-established travel business, who are looking to hire a Data Engineer to support their growing digital and marketing function. This is a unique opportunity to join a lean, high-impact team where you’ll play a key role in shaping how data is used across the business.
You’ll work closely with marketing stakeholders to extract, transform, and automate data from multiple sources, helping drive performance improvements and better decision-making. This role is ideal for someone who enjoys working across both engineering and analytics, delivering quick wins through automation while building towards a more advanced data and insight capability over time.
The Data Engineer will be responsible for:
- Extracting and transforming data from multiple sources including BigQuery, GA4, CRM and marketing platforms
- Building and improving data pipelines with SQL to support reporting and insight generation
- Automating manual reporting processes (currently Excel-based) to improve efficiency
- Supporting the transition towards visualisation tools such as Power BI, Looker or Tableau
This is a great opportunity for someone looking to take ownership in a smaller team, with the chance to grow into a broader analytics and insight-focused role!
Data Engineer employer: Understanding Recruitment
Contact Detail:
Understanding 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 people in the industry, especially those already working in data roles. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL, BigQuery, or automation. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you've used data to drive decisions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
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 experience with data extraction, transformation, and automation, especially if you've worked with tools like SQL or BigQuery. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how you can contribute to our team. Mention specific projects or experiences that relate to the job description, showing us you understand what we need.
Showcase Your Technical Skills: Don’t forget to highlight your technical prowess! If you've built data pipelines or automated reporting processes, let us know. We love seeing examples of how you've used your skills to drive performance improvements in past roles.
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 shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Understanding Recruitment
✨Know Your Data Tools
Make sure you’re familiar with the tools mentioned in the job description, like BigQuery, GA4, and SQL. Brush up on your skills and be ready to discuss how you've used these tools in past projects. This shows you’re not just a theoretical candidate but someone who can hit the ground running.
✨Showcase Your Automation Skills
Since the role involves automating manual reporting processes, prepare examples of how you've successfully automated tasks in the past. Whether it’s through SQL scripts or other methods, being able to demonstrate your ability to improve efficiency will impress the interviewers.
✨Understand the Business Impact
Research the travel business and think about how data impacts their marketing strategies. Be ready to discuss how your work as a Data Engineer can drive performance improvements and better decision-making. This shows that you’re not just focused on the technical side but also understand the bigger picture.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the current data challenges they face, and how they envision the role evolving. This not only shows your interest but also helps you gauge if the company is the right fit for you.