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- Tasks: Integrate data and conduct ETL activities while collaborating with industry experts.
- Company: Leading technical consultancy in the UK with a focus on innovation.
- Benefits: Competitive salary, £5000 development budget, wellness programs, and 25 days leave.
- Why this job: Join a dynamic team and enhance your skills in a hybrid work environment.
- Qualifications: Proficient in Python and experienced with Apache Spark.
- Other info: Great opportunity for professional growth and impactful projects.
The predicted salary is between 70000 - 80000 £ per year.
A leading technical consultancy in the UK is seeking a Data Consultant to enhance their data foundation. You will work on integrating data, conduct ETL activities, and collaborate with SMEs. Ideal candidates are proficient in Python and have experience with Apache Spark.
The role offers a competitive salary of £70,000-£80,000, a £5000 professional development budget, wellness programs, and 25 days of annual leave. This position allows for hybrid working arrangements.
Data Consultant - Hybrid, Data Integrations & ETL employer: Hexegic
Contact Detail:
Hexegic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Consultant - Hybrid, Data Integrations & ETL
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, especially those who work at consultancies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and ETL processes. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss Apache Spark and how you've used it in past projects. Confidence in your expertise can make all the difference!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Consultant - Hybrid, Data Integrations & ETL
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data integrations and ETL activities. We want to see how your skills in Python and Apache Spark can enhance our data foundation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data consultancy and how you can contribute to our team. Be sure to mention any relevant projects or experiences.
Showcase Your Technical Skills: Don’t forget to include specific examples of your technical expertise, especially in Python and Apache Spark. We love seeing how you've applied these skills in real-world scenarios!
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!
How to prepare for a job interview at Hexegic
✨Know Your Data Stuff
Make sure you brush up on your knowledge of data integration and ETL processes. Be ready to discuss your experience with Python and Apache Spark, as these are key skills for the role. Prepare examples of past projects where you've successfully implemented these technologies.
✨Showcase Your Collaboration Skills
Since you'll be working closely with Subject Matter Experts (SMEs), it's important to demonstrate your ability to collaborate effectively. Think of instances where you've worked in a team to solve complex data issues and be prepared to share those stories during the interview.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy and how they envision the role of a Data Consultant. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
✨Embrace the Hybrid Model
Since this role offers hybrid working arrangements, be ready to discuss how you manage your time and productivity in both remote and office settings. Share any experiences that highlight your adaptability and self-motivation in a flexible work environment.
