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For Companies At a Glance
- Tasks: Build a solid data foundation and create innovative analytical workflows.
- Company: Join Hexegic, a leading tech consultancy with exciting projects.
- Benefits: Competitive salary, professional development budget, wellness programme, and hybrid work options.
- Why this job: Make an impact in data engineering while growing your career in a dynamic environment.
- Qualifications: Proficient in Python, with experience in Apache Spark and data analytics tools.
- Other info: Enjoy 25 days of annual leave and opportunities for UK security clearance.
The predicted salary is between 50000 - 60000 £ per year.
As a data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications.
About us
Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career.
Core Responsibilities
- Establishing new data integrations within the data foundation
- Conduct ETL activities as conducted by SMEs
- Configuring connections to other datasets within the data foundation
- Collaborate with SMEs to create, test and validate data models and outputs
- Set up monitoring and ensure data health for outputs
What we are looking for
- Proficiency in Python, with experience in Apache Spark and PySpark
- Previous experience with data analytics software
- Ability to scope new integrations and translate user requirements into technical specifications
What’s in it for you?
- Base salary of £50,000-£60,000
- £5000 a year professional development budget
- Wellness program
- 25 days annual leave
- Hybrid working arrangements
Please note that successful candidates must be eligible for UK security clearance.
Data Engineer in City of London employer: Hexegic
Contact Detail:
Hexegic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Apache Spark, and data integrations. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data engineering questions and be ready to discuss how you've tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us at Hexegic. It shows initiative and helps us get to know you better.
We think you need these skills to ace Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, Apache Spark, and any relevant data analytics software. 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 team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool projects related to data integrations or ETL activities, make sure to mention them! We’re keen to see real examples of your work and how you’ve tackled challenges in the past.
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. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Hexegic
✨Know Your Tech Stack
Make sure you brush up on your Python skills, especially with Apache Spark and PySpark. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding of the tools they'll expect you to use.
✨Understand ETL Processes
Since you'll be conducting ETL activities, it’s crucial to understand the end-to-end process. Prepare to explain how you’ve handled data extraction, transformation, and loading in previous roles, and think of specific examples that highlight your problem-solving skills.
✨Collaboration is Key
You'll be working closely with Subject Matter Experts (SMEs), so be prepared to discuss how you’ve collaborated with others in the past. Think about times when you’ve translated user requirements into technical specifications and how you ensured everyone was on the same page.
✨Show Your Passion for Data
Express your enthusiasm for building a robust data foundation. Talk about any personal projects or interests related to data analytics that demonstrate your commitment to the field. This can help you stand out as someone who is genuinely excited about the role.
