At a Glance
- Tasks: Enhance data foundations and perform ETL activities with cutting-edge technologies.
- Company: Join Hexegic, a forward-thinking company focused on data innovation.
- Benefits: Competitive salary, hybrid working, and extensive professional development opportunities.
- Other info: Collaborate with experts in a dynamic and supportive environment.
- Why this job: Shape user requirements into technical solutions and make a real impact.
- Qualifications: Strong Python skills and experience with Apache Spark required.
The predicted salary is between 50000 - 60000 £ per year.
Hexegic is seeking a Data Engineer to enhance the data foundation critical for analytical workflows. You will establish new data integrations and perform ETL activities while collaborating with subject matter experts.
The ideal candidate will possess strong Python skills, experience in Apache Spark, and the ability to shape user requirements into technical solutions.
This role offers a competitive salary between £50,000 and £60,000 and supports hybrid working arrangements along with extensive professional development opportunities.
Hybrid Data Engineer - Spark, PySpark & ETL employer: Hexegic
Hexegic is an exceptional employer that prioritises employee growth and development, offering extensive professional development opportunities alongside a competitive salary. With a supportive hybrid working culture, employees can enjoy a balanced work-life while contributing to innovative data solutions in a collaborative environment.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Engineer - Spark, PySpark & ETL
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at Hexegic or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Spark and PySpark. This gives you a chance to demonstrate your technical prowess and makes you stand out during interviews.
✨Tip Number 3
Prepare for the technical interview! Brush up on your ETL processes and be ready to discuss how you've shaped user requirements into technical solutions. Practice common data engineering scenarios to boost your confidence.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, and it shows you're genuinely interested in joining our team. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Hybrid Data Engineer - Spark, PySpark & ETL
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, Spark, and ETL processes. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for the position.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in data engineering. We’re looking for candidates who can turn user requirements into technical solutions, so share those success stories!
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 us during the process!
How to prepare for a job interview at Hexegic
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Apache Spark skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand ETL Processes
Since the role involves ETL activities, be prepared to explain your understanding of the ETL process. Think about how you've designed or improved ETL workflows in the past and be ready to share those experiences.
✨Collaborate Like a Pro
This position requires working with subject matter experts, so highlight your teamwork skills. Prepare examples of how you've successfully collaborated with others to gather requirements and deliver technical solutions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the data challenges the company is currently facing or how they envision the role evolving. This shows your genuine interest and helps you gauge if it's the right fit for you.
