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- Tasks: Build and manage datasets for a trading platform using Python and automate ETL pipelines.
- Company: Join a global systematic trading firm known for its innovative approach and talented team.
- Benefits: Enjoy a salary up to £120k, significant bonuses, private healthcare, and 25 days holiday.
- Why this job: Tackle complex challenges in a collaborative environment while contributing to cutting-edge data systems.
- Qualifications: Strong Python skills, experience with data pipelines, and familiarity with AWS technologies required.
- Other info: Flexible work-from-home options and a diverse, inclusive workplace culture.
The predicted salary is between 72000 - 168000 £ per year.
Are you a Data technologist with strong Python coding skills? You could be progressing your career in a senior, hands-on role at a global systematic trading firm. As a Data Integration Engineer your focus will be on building and managing multiple datasets used extensively on the research and trading platform including automated ETL pipelines to onboard datasets faster, contributing to design and implementation of the data framework, data health, data quality checks and supporting Quants and Traders using the systems.
There are many complex technical challenges, you will be collaborating with a highly talented team to solve problems and push what is possible.
Location / WFH: You will join colleagues based in high spec offices with free breakfast and lunch at the onsite restaurant, with flexibility to work from home two days a week.
About you:
- You have strong Python coding skills
- You have a good understanding of structured and unstructured data
- You have experience of building data pipelines and a good knowledge of Data Warehouses / Data Lakes
- You have experience of working on low latency trading systems
- You are familiar with AWS data technologies
- You are degree educated in a relevant discipline
What’s in it for you: As a Data Integration Engineer (Python) you will earn a competitive package:
- Salary to £120k
- Significant Bonus
- Pension
- Private Healthcare
- 25 days holiday
- Opportunity to work on Greenfield systems at the cutting edge
- Continual learning and development opportunities
Apply now to find out more about this Data Integration Engineer (Python) opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We are an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Data Integration Engineer Python - Trading employer: Fab Lab ABQ
Contact Detail:
Fab Lab ABQ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Integration Engineer Python - Trading
✨Tip Number 1
Familiarise yourself with the specific data technologies mentioned in the job description, especially AWS. Having hands-on experience or projects that showcase your skills in these areas can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your experience with building data pipelines and working on low latency trading systems. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will demonstrate your problem-solving abilities.
✨Tip Number 3
Network with professionals in the trading and data integration space. Attend relevant meetups or webinars to connect with others in the industry, which could lead to valuable insights and potential referrals for the role.
✨Tip Number 4
Showcase your collaborative skills by preparing to discuss how you've worked with Quants and Traders in the past. Highlighting your ability to communicate effectively with different teams will be crucial in a role that requires teamwork.
We think you need these skills to ace Data Integration Engineer Python - Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Python coding skills and experience with data pipelines. Include specific examples of projects where you've built automated ETL processes or worked with structured and unstructured data.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your familiarity with AWS data technologies and how your background aligns with the requirements of the Data Integration Engineer position.
Showcase Relevant Experience: When detailing your work experience, focus on your contributions to low latency trading systems and any challenges you've overcome in previous roles. This will demonstrate your problem-solving skills and technical expertise.
Highlight Continuous Learning: Mention any relevant courses, certifications, or personal projects that showcase your commitment to continual learning and development in data technologies. This can set you apart from other candidates.
How to prepare for a job interview at Fab Lab ABQ
✨Showcase Your Python Skills
Be prepared to discuss your Python coding experience in detail. Bring examples of projects where you've built data pipelines or automated ETL processes, as this will demonstrate your hands-on expertise and problem-solving abilities.
✨Understand Data Frameworks
Familiarise yourself with the concepts of data frameworks, data health, and quality checks. Be ready to explain how you have contributed to these areas in previous roles, as this is crucial for the position.
✨Discuss Low Latency Trading Systems
Since the role involves working on low latency trading systems, be prepared to discuss your experience in this area. Highlight any challenges you've faced and how you overcame them, showcasing your technical acumen.
✨Research the Company Culture
Take some time to understand the company's values and culture. Being able to articulate why you want to work there and how you align with their mission can set you apart from other candidates.
