At a Glance
- Tasks: Lead the integration of Databricks and Salesforce to enhance data accessibility.
- Company: A top financial services organisation with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with talented teams to drive data-driven decision-making.
- Why this job: Make a significant impact by optimising data flows in a dynamic environment.
- Qualifications: Strong experience in data engineering and hands-on expertise in Databricks and Salesforce.
The predicted salary is between 60000 - 80000 £ per year.
A leading financial services organisation is seeking a Data Integration Lead to enhance its data platform, focusing on scalable integrations between Databricks and Salesforce. The ideal candidate must demonstrate strong experience in data engineering, with hands-on expertise in Databricks and Salesforce integration.
Key responsibilities include:
- Designing the integration layer
- Consolidating legacy ADF pipelines
This high-impact role requires collaboration with both Data Engineering and Salesforce teams to optimize data flows and improve accessibility for business processes.
Data Integration Lead: Databricks & Salesforce Bridge employer: SGI
Join a leading investment manager in London, where you will have the opportunity to take ownership of building and enhancing cutting-edge trading systems from the ground up. With a strong focus on collaboration across trading, investment, and technology teams, this role offers a dynamic work culture that values innovation and professional growth. Enjoy the benefits of hybrid working while contributing to impactful projects that shape the future of FX and investment technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Integration Lead: Databricks & Salesforce Bridge
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector, especially those working with Databricks and Salesforce. A friendly chat can open doors and give you insights that might just land you that Data Integration Lead role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with data engineering and integrations. When you get the chance to chat with hiring managers, let them see how you've tackled similar challenges before.
✨Tip Number 3
Stay updated on industry trends! Follow blogs, podcasts, or webinars related to data integration and financial services. This knowledge will not only impress interviewers but also help you speak their language during discussions.
✨Tip Number 4
Apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your expertise. Plus, it shows us you're genuinely interested in joining our team and making an impact in the data space.
We think you need these skills to ace Data Integration Lead: Databricks & Salesforce Bridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks and Salesforce integration. We want to see how your skills align with the role, 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 passionate about data engineering and how you can enhance our data platform. We love seeing enthusiasm and a clear understanding of the role.
Showcase Collaboration Skills:Since this role involves working closely with both Data Engineering and Salesforce teams, make sure to mention any past experiences where you’ve successfully collaborated across teams. We value teamwork and communication!
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at SGI
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks and Salesforce knowledge. Be ready to discuss specific integration techniques and any challenges you've faced in previous roles. This will show that you’re not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Your Collaboration Skills
Since this role involves working closely with both Data Engineering and Salesforce teams, prepare examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you improved data flows or accessibility, as this will demonstrate your ability to work well with others.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data integration. Think about potential scenarios involving legacy ADF pipelines and how you would approach consolidating them. Practising these types of questions can help you articulate your thought process clearly.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current data challenges or future projects involving Databricks and Salesforce. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
