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 field.
- Why this job: Make a real impact in a dynamic industry with cutting-edge data technologies.
- 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 in West Bromwich 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 culture that fosters innovation and collaboration, and ample opportunities for professional growth and development in cutting-edge technologies like AWS and Snowflake.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer — Build Scalable ETL on AWS & Snowflake in West Bromwich
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines and data projects. We love seeing real examples of your work, so make sure to highlight your Python and SQL prowess.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with data warehousing and orchestration tools like Airflow. We want to see how you think and solve problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented individuals like you to join our team.
We think you need these skills to ace Senior Data Engineer — Build Scalable ETL on AWS & Snowflake in West Bromwich
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with ETL pipelines, Python, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our team. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your experience with data warehousing and orchestration tools like Airflow. We’re looking for someone who can hit the ground running, so let us know what you’ve worked on!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the tools mentioned in the job description. Brush up on your knowledge of ETL processes and data warehousing concepts, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built or improved ETL pipelines. Be ready to explain the challenges you faced, how you overcame them, and the impact your work had on the overall data strategy.
✨Understand the Business
Research Harnham’s online gambling and sports betting platform. Understanding their business model and how data plays a role in their success will help you tailor your answers and show that you’re genuinely interested in the company.
✨Ask Insightful Questions
Prepare thoughtful questions about their current data architecture and future plans. This not only shows your interest but also gives you a chance to assess if the role aligns with your career goals.
