Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data pipelines for analytics and reporting across the organisation.
- Company: Join a forward-thinking tech company focused on data-driven solutions.
- Benefits: Competitive salary, annual bonus, private medical insurance, and 25+ days holiday.
- Why this job: Make an impact with real-time data and empower teams to make informed decisions.
- Qualifications: Experience in data engineering, SQL, Python, and cloud platforms.
- Other info: Enjoy a collaborative culture with excellent career growth opportunities.
The predicted salary is between 28800 - 48000 ÂŁ per year.
As a Data Engineer, you’ll design, build, and maintain robust data pipelines that support analytics, reporting, and advanced data use cases across the organisation. You’ll work closely with the Head of Data & Intelligence, Senior Data Analyst, engineering teams, and business stakeholders to ensure data is accurate, timely, and accessible. The role involves working with both high-volume, near real‑time data (e.g. device telemetry and operational events) as well as more traditional business data (e.g. sales and activations).
Key Responsibilities
- Design, build, and maintain scalable batch and near real‑time data pipelines
- Ingest data from devices, databases, APIs, and third‑party platforms
- Implement ETL/ELT processes to produce analytics- and reporting‑ready datasets
- Support near real‑time operational and product performance observability
- Contribute to the implementation of a modern, cloud‑based data platform
- Implement data validation, reconciliation, and monitoring processes
- Ensure high standards of data quality and governance
- Partner with analytics, product, engineering, and business teams
- Enable self‑service data access via approved tools and patterns
- Produce and maintain clear technical documentation
What Success Looks Like
- Reliable, scalable data pipelines supporting analytics and reporting
- High‑quality, trusted data accessible across the organisation
- Stakeholders empowered to make informed, data‑driven decisions
- A collaborative and data‑focused culture embedded across teams
Requirements
- Proven experience as a Data Engineer or in a similar role
- Strong skills in SQL, Python, PySpark
- Experience with orchestration and transformation tools (e.g. Airflow, dbt)
- Experience with cloud data platforms (e.g. Snowflake, Redshift, Databricks, ADF, MS Fabric)
- Solid understanding of data modelling, ETL/ELT, and data warehousing
- Familiarity with DevOps practices and version control (e.g. GitHub)
- Strong communication and stakeholder engagement skills
Nice to Have
- Experience with high‑volume or near real‑time data
- Exposure to BI tools such as Power BI, Tableau, or Looker
Benefits
- Competitive salary with annual bonus scheme
- Annual salary review
- Statutory pension contribution
- Life assurance – 4x basic salary
- Private medical insurance
- Group Income Protection
- 24/7 Cash Plan
- 25 days holiday, increasing by 1 day for every 5 years’ service (up to 30 days)
- Volunteer leave
- Employee Assistance Programme (EAP) – 24/7 support
- Flu jabs contribution
- Eye care contribution
- Lifetime financial wellbeing subscription
Perks & Everyday Extras
- Green electric salary sacrifice car scheme
- PerkHub employee discount platform
- Free fruit and breakfast foods
- Refer a Friend bonus
- Long service awards
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: Technology, Information and Media, Data Infrastructure and Analytics, and IT System Data Services
Data Engineer in Watford employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Watford
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data game. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving data pipelines or analytics. Share it on platforms like GitHub to give potential employers a taste of your work.
✨Ace the Interview
Prepare for those interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data pipelines or solving data-related problems. Confidence is key!
✨Apply Through Us!
We’ve got some fantastic opportunities waiting for you on our website. Don’t hesitate to apply directly through us – it shows you're keen and makes it easier for us to connect with you about your application!
We think you need these skills to ace Data Engineer in Watford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Python, and any relevant data platforms like Snowflake or Redshift. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've designed and built data pipelines. We love seeing real examples of your work, especially if they involve high-volume or near real-time data. This helps us understand your hands-on experience.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for your achievements and responsibilities. We appreciate straightforward communication, so make it easy for us to see your strengths!
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. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Burns Sheehan
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like SQL, Python, and PySpark. Brush up on your experience with orchestration tools like Airflow and cloud platforms such as Snowflake or Redshift. Being able to discuss these confidently will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've designed and maintained data pipelines in the past. Think about challenges you faced and how you overcame them. This will demonstrate your ability to handle real-world scenarios and your understanding of ETL/ELT processes.
✨Communicate Clearly
Since the role involves working closely with various teams, practice explaining complex data concepts in simple terms. Be ready to discuss how you’ve collaborated with stakeholders in previous roles, ensuring everyone is on the same page regarding data quality and governance.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and the specific challenges they face. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values, especially regarding collaboration and data-driven decision-making.
