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For Companies At a Glance
- Tasks: Help 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 analytics while growing your career in a dynamic environment.
- Qualifications: Proficient in Python, experience with Apache Spark, and strong data analytics skills.
- Other info: Enjoy 25 days of annual leave and opportunities for UK security clearance.
The predicted salary is between 70000 - 80000 £ per year.
As a data consultant, 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 £70,000-£80,000
- £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 Consultant in City of London employer: Hexegic
Contact Detail:
Hexegic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Consultant in City of London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Hexegic on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and data integration knowledge. We want to show off our expertise, so practice explaining complex concepts in simple terms.
✨Tip Number 3
Don’t forget to showcase your collaborative spirit! Highlight any past experiences where you worked with SMEs or cross-functional teams. It’s all about teamwork in this role!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Data Consultant in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Consultant 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 and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Technical Skills: When filling out your application, don’t forget to showcase your technical skills. Mention any ETL activities you've conducted and how you've collaborated with SMEs in the past. We love seeing real examples of your work!
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 get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Hexegic
✨Know Your Data Tools
Make sure you brush up on your Python skills, especially with Apache Spark and PySpark. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data analytics.
✨Understand ETL Processes
Familiarise yourself with ETL activities and be prepared to explain how you've conducted them in previous roles. Highlight any specific challenges you faced and how you overcame them, as this demonstrates your problem-solving abilities.
✨Collaborate Like a Pro
Since collaboration with SMEs is key, think of examples where you've worked closely with others to create or validate data models. Show that you can communicate technical specifications clearly and work effectively in a team setting.
✨Showcase Your Monitoring Skills
Be ready to discuss how you've set up monitoring for data health in your previous roles. This could include any tools or methods you've used to ensure data integrity and reliability, which is crucial for the role.
