At a Glance
- Tasks: Own and evolve ETL pipelines while building scalable data assets.
- Company: Join a fast-growing online gambling and sports betting platform in the UK.
- Benefits: Competitive salary between £80,000 - £100,000 based on experience.
- Other info: Exciting opportunities for growth in a rapidly evolving sector.
- Why this job: Make a real impact in a dynamic industry with cutting-edge technology.
- Qualifications: Strong skills in Python, SQL, and experience with data warehousing tools.
The predicted salary is between 80000 - 100000 € per year.
Harnham is seeking a Senior Data Engineer to join their fast-growing online gambling and sports betting platform in the UK. This role involves owning and evolving ETL pipelines while focusing on building scalable data assets.
The ideal candidate will have strong skills in Python and SQL along with experience in data warehousing and orchestration tools such as Airflow.
A salary between £80,000 - £100,000 is offered, depending on experience.
Senior Data Engineer — Build Scalable ETL on AWS & Snowflake employer: Harnham
Harnham is an exceptional employer, offering a dynamic work environment within the rapidly evolving online gambling and sports betting sector in the UK. Employees benefit from competitive salaries, a strong focus on professional development, and a culture that encourages innovation and collaboration, making it an ideal place for those looking to advance their careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer — Build Scalable ETL on AWS & Snowflake
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Harnham or similar companies. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your ETL projects, especially those using Python and SQL. This will give potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Ace the interview by practising common data engineering questions. Brush up on your knowledge of AWS, Snowflake, and orchestration tools like Airflow. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer — Build Scalable ETL on AWS & Snowflake
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with ETL pipelines, Python, SQL, and any relevant tools like Airflow. We want to see how your skills match 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 passionate about data engineering and how you can contribute to our online gambling platform. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any cool projects related to data warehousing or scalable data assets, make sure to mention them. We’re interested in seeing real examples of your work and how you’ve tackled challenges in the past.
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 don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Harnham
✨Know Your ETL Inside Out
Make sure you can discuss your experience with ETL pipelines in detail. Be ready to explain how you've built and optimised them, especially in AWS and Snowflake environments. This will show that you not only understand the theory but have practical skills to back it up.
✨Brush Up on Python and SQL
Since strong skills in Python and SQL are crucial for this role, take some time to review key concepts and be prepared to solve coding challenges during the interview. Practising common SQL queries and Python scripts can give you a solid edge.
✨Familiarise Yourself with Airflow
If you have experience with orchestration tools like Airflow, be ready to discuss specific projects where you’ve used it. If you're less familiar, do some research on its functionalities and how it integrates with ETL processes, as this could come up in conversation.
✨Show Your Passion for Data Engineering
Employers love candidates who are genuinely passionate about their field. Share any personal projects or interests related to data engineering, online gambling, or sports betting. This can help you stand out and demonstrate your enthusiasm for the role.
