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For Companies At a Glance
- Tasks: Transform client data access and processing, driving data maturity and decision-making.
- Company: Join a forward-thinking team focused on innovative data solutions and client success.
- Benefits: Enjoy flexible benefits, hybrid working, health plans, and training opportunities.
- Why this job: Be a key player in shaping data strategies while engaging with the tech community.
- Qualifications: Strong Databricks experience and familiarity with AWS or Azure required.
- Other info: Opportunities for blogging, speaking at events, and participating in diversity initiatives.
The predicted salary is between 43200 - 72000 £ per year.
As a Data Consultant, you’ll have the opportunity to transform how our clients access and process data, help to drive their data maturity, and enable their businesses to thrive with data-driven decision making. We’re looking for a hands-on data practitioner who is proficient in working with Databricks. The right candidate will also be comfortable working with cloud technologies (Azure or AWS). You will be comfortable defining and building cloud infrastructure, whilst also being able to discuss the finer details of data warehouses, lakes, lake houses, and mesh architectures with client stakeholders and internal teams. You will often be the key subject matter expert on proposals and bids. Expect to work with clients offering a consultative approach to complex issues, contributing to presales, and curating accelerators. There will also be opportunities to blog, speak at events, and engage with the data community.
About You
This is a senior role within our Data Professional Services team, providing the successful applicant with the freedom to mature and evolve our data platform accelerators. We believe this role suits candidates from diverse backgrounds, but we ask that you:
- Have strong experience working with Databricks
- Have experience in an AWS or Azure environment
- Are comfortable with Infrastructure as Code
- Can automate repetitive tasks and workloads
- Are passionate about data solutions and evangelising them
- Enjoy staying up-to-date with technology
- Drive high-quality solutions
Some of the Perks
- Flexible benefits allowance – choose how to spend your allowance (additional pension contributions, healthcare, dental, and more)
- Industry-leading health and wellbeing plan, including 24/7 GP services, mental health support, and other services
- Life Assurance (4x annual salary)
- 25 days of annual leave plus bank holidays
- Hybrid working – balance between office, client site, and WFH, with flexibility
- Discounts from various retail, lifestyle, and utility brands
- Referral scheme with unlimited referrals
- Flexible holiday buy/sell options
- Electric vehicle scheme
- Training and certification opportunities, including unlimited access to O’Reilly
- Opportunities to participate in initiatives promoting diversity in tech
- Supportive team environment across different business areas
- Active social calendar including town halls, squad nights out, and family-friendly events
Data Specialist - Databricks employer: BJSS
Contact Detail:
BJSS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Specialist - Databricks
✨Tip Number 1
Familiarise yourself with Databricks and its features. Consider building a small project or contributing to an open-source project that uses Databricks to showcase your hands-on experience.
✨Tip Number 2
Engage with the data community by attending meetups or webinars focused on Databricks and cloud technologies. Networking with professionals in the field can provide valuable insights and potential referrals.
✨Tip Number 3
Stay updated on the latest trends in cloud infrastructure, especially regarding AWS and Azure. Being able to discuss recent developments will demonstrate your commitment to continuous learning and expertise.
✨Tip Number 4
Prepare to discuss your approach to automating tasks and workloads during interviews. Having specific examples ready will help you illustrate your problem-solving skills and technical proficiency.
We think you need these skills to ace Data Specialist - Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and cloud technologies like AWS or Azure. Use specific examples to demonstrate your hands-on skills and any relevant projects you've worked on.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data solutions and how you can contribute to the company's goals. Mention your experience with Infrastructure as Code and your ability to automate tasks, as these are key aspects of the role.
Showcase Your Expertise: If you have experience in presales or consulting, be sure to include that in your application. Highlight any instances where you've acted as a subject matter expert and how you've helped clients solve complex data issues.
Engage with the Data Community: Mention any blogging, speaking engagements, or community involvement related to data. This shows your commitment to staying current in the field and your willingness to share knowledge with others.
How to prepare for a job interview at BJSS
✨Showcase Your Databricks Expertise
Be prepared to discuss your hands-on experience with Databricks in detail. Highlight specific projects where you've successfully implemented solutions, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Cloud Proficiency
Since the role requires familiarity with cloud technologies like Azure or AWS, ensure you can articulate your experience in these environments. Discuss any relevant projects and how you’ve leveraged cloud infrastructure to enhance data processing.
✨Understand Data Architecture Concepts
Brush up on key concepts such as data warehouses, lakes, lake houses, and mesh architectures. Be ready to engage in technical discussions with stakeholders, showcasing your ability to communicate complex ideas clearly.
✨Emphasise Your Consultative Approach
This role involves a consultative approach to solving client issues. Prepare examples of how you've successfully collaborated with clients in the past, focusing on your ability to listen, understand their needs, and provide tailored solutions.
