At a Glance
- Tasks: Manage vendor relationships and drive data engineering initiatives for quality data delivery.
- Company: Join a leading tech firm focused on data innovation and collaboration.
- Benefits: Attractive salary, health perks, remote work options, and growth opportunities.
- Other info: Dynamic team environment with excellent career advancement potential.
- Why this job: Be a key player in enhancing data quality and driving impactful projects.
- Qualifications: Bachelor's degree and 5+ years of relevant experience required.
The predicted salary is between 36000 - 60000 € per year.
The Data Engineering team is responsible for ingesting vast quantities of data into Squarepoint. Our team works closely with stakeholders as well as data vendors to deliver quality data for production and research purposes. As a successful Data Development Integrator, you will occupy a key role.
You will:
- Own vendor management for the Data Engineering team. This will involve continuous interaction with the Data Onboarding team and vendors to understand incoming data ingestion projects, planned vendor changes, and business priorities.
- Drive Data Engineering triage. You will work on scoping and validating new initiatives, in addition to allocating them to the right implementation teams through the triage process.
- Foster collaboration within Data Engineering. You will build close relationships with global Data Engineering leads and their business stakeholders, to drive efficient collaboration through a deep understanding of the people, problems, and processes involved.
- Increase data quality through lifecycle management of vendor datasets. You will be in charge of implementing technical requirements that do not need any code change but can be delivered via configuration. Alternatively, you would work with data engineers for more complex changes.
Required Qualifications
- Bachelor’s degree in business, engineering or related subject
- 5+ years of experience
- Strong analytical, organizational, and interpersonal skills
- Good understanding of software/hardware concepts, software development life cycle and processes around them
- Experience with the Atlassian stack (JIRA, Confluence) and git (Gitlab)
Nice to haves
- Experience working with data vendors, trading exchanges or similar
- Working knowledge of a scripting language like Python
- Working knowledge of data transfer protocols (SFTP, S3, HTTP) and databases
Software Developer - Data Development Integrator employer: Squarepoint Capital
Squarepoint is an exceptional employer that fosters a collaborative and innovative work culture, particularly within its Data Engineering team in London. Employees benefit from continuous professional development opportunities, a supportive environment that encourages teamwork, and the chance to work with cutting-edge technology on impactful data projects. The company's commitment to quality and efficiency ensures that every team member plays a vital role in driving success, making it a rewarding place for those seeking meaningful employment.
StudySmarter Expert Advice🤫
We think this is how you could land Software Developer - Data Development Integrator
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their data engineering processes, and be ready to discuss how your experience aligns with their needs. We suggest practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 3
Show off your skills! If you’ve worked on relevant projects, create a portfolio or GitHub repository showcasing your work. This gives potential employers a tangible look at what you can do, and we all know that actions speak louder than words.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Software Developer - Data Development Integrator
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Software Developer - Data Development Integrator role. Highlight your experience with data vendors and any relevant projects you've worked on. We want to see how your skills align with 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 your background makes you a great fit for our team. We love seeing enthusiasm and a personal touch!
Showcase Your Technical Skills:Don’t forget to mention your experience with the Atlassian stack and any scripting languages you know, like Python. We’re keen on candidates who can hit the ground running, so make those skills pop in your application!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to track your application better. Plus, it shows us you’re serious about joining StudySmarter!
How to prepare for a job interview at Squarepoint Capital
✨Know Your Data Inside Out
Make sure you understand the data lifecycle and how vendor management works. Brush up on your knowledge of data transfer protocols and databases, as these will likely come up in conversation. Being able to discuss specific examples from your experience will show that you’re not just familiar with the concepts but can apply them effectively.
✨Familiarise Yourself with the Atlassian Stack
Since the role involves using tools like JIRA and Confluence, it’s a good idea to get comfortable with these platforms. If you haven’t used them extensively, consider watching some tutorials or even creating a mock project to demonstrate your understanding during the interview.
✨Showcase Your Collaboration Skills
This position requires strong interpersonal skills, so be prepared to discuss how you've successfully collaborated with teams in the past. Think of specific instances where you’ve built relationships with stakeholders or resolved conflicts, as this will highlight your ability to foster collaboration within the Data Engineering team.
✨Prepare for Technical Questions
Expect questions that test your analytical and problem-solving skills. You might be asked to scope a new initiative or validate a data ingestion project. Practising common technical interview questions related to software development life cycles and data management will help you feel more confident and ready to tackle these challenges.
