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- Tasks: Join our team as a Data Engineer, developing data pipelines and collaborating on impactful projects.
- Company: Data Intellect is a consultancy focused on turning big data challenges into smart solutions across various industries.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration in a diverse team.
- Why this job: Be part of a fast-paced team solving complex problems while engaging with top-tier financial institutions.
- Qualifications: Strong Python and kdb+ skills are essential; experience in FX and front office environments is preferred.
- Other info: We value diversity and inclusivity, offering accommodations throughout the hiring process.
The predicted salary is between 43200 - 72000 £ per year.
Company Description
At Data Intellect it has never been just about data or technology, they are our tools. It\’s about human intellect, collaboration and providing solutions for the most complex of challenges.
We do this by living the [DI] code:
We are Problem Solvers who are Humble, possess a Can-do Attitude with a focus on Togetherness.
\”We are not big on egos, but we\’re not for the faint-hearted either\” – Steve Turner, CEO
Job Description
We are looking for a highly motivated Data Engineer to join our dynamic team working with a tier 1 multinational investment bank. This role is ideal for someone who thrives in fast-paced environments, enjoys working on both BAU and project-based initiatives, and has a strong background in Python and kdb+ within the FX domain.
Key Responsibilities
- Develop and maintain core data pipelines supporting FX BAU and small enhancement projects
- Collaborate with cross-functional teams to deliver high-impact data solutions
- Contribute to both strategic initiatives and day-to-day operations
- Work independently and as part of a team to manage multiple priorities and context-switch effectively
- Engage with Front Office stakeholders and datasets, particularly within FICC asset classes
Qualifications
Tech stack
- Python (80%) – Core language for data engineering and analytics
- KDB (20%) – Supporting legacy and real-time data processing needs
Core Attributes
- Self-starter with excellent organisational skills
- Comfortable working independently and collaboratively
- Proven ability to manage multiple initiatives simultaneously
- Experience in fast-paced environments with shifting priorities
- Strong communication skills and stakeholder engagement
Preferred Experience
- Front Office experience, particularly in FICC asset classes
- Exposure to FX datasets and trading environments
- Familiarity with agile methodologies and project delivery
Additional Information
A little background on DI
Simply put – we turn big data problems into smart data solutions
At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare.
This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions.
Fair employment and equal opportunities
Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process.
Welcome to Data Intellect.
#ChallengeAccepted #J-18808-Ljbffr
Data Engineer Contractor (Python / kdb+) employer: Data Intellect
Contact Detail:
Data Intellect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Contractor (Python / kdb+)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, particularly Python and kdb+. Consider building a small project or contributing to open-source projects that utilise these technologies to showcase your skills.
✨Tip Number 2
Network with professionals in the financial services sector, especially those who work with FX datasets. Attend industry meetups or webinars to connect with potential colleagues and learn more about the challenges they face.
✨Tip Number 3
Prepare to discuss your experience in fast-paced environments during interviews. Think of examples where you successfully managed multiple priorities and how you adapted to shifting demands, as this is crucial for the role.
✨Tip Number 4
Research Data Intellect's company culture and values. Be ready to articulate how your personal values align with their focus on collaboration and problem-solving, as cultural fit is often just as important as technical skills.
We think you need these skills to ace Data Engineer Contractor (Python / kdb+)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and kdb+, as well as any relevant work in the FX domain. Use specific examples to demonstrate your skills in data engineering and analytics.
Craft a Compelling Cover Letter: Write a cover letter that reflects your understanding of Data Intellect's values, particularly their focus on problem-solving and collaboration. Mention how your background aligns with their needs and express your enthusiasm for the role.
Showcase Relevant Projects: If you have worked on projects involving data pipelines or FX datasets, be sure to include these in your application. Describe your role, the technologies used, and the impact of your contributions.
Highlight Soft Skills: Data Intellect values self-starters with strong communication skills. In your application, emphasise your ability to manage multiple priorities and work effectively both independently and as part of a team.
How to prepare for a job interview at Data Intellect
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and kdb+ during the interview. Be prepared to discuss specific projects where you've used these technologies, especially in relation to FX datasets.
✨Demonstrate Problem-Solving Abilities
Data Intellect values problem solvers. Prepare examples of how you've tackled complex challenges in previous roles, particularly in fast-paced environments. This will show that you align with their core values.
✨Engage with Stakeholders
Since the role involves engaging with Front Office stakeholders, practice articulating how you've successfully communicated and collaborated with various teams in the past. This will demonstrate your strong communication skills.
✨Emphasise Adaptability
Be ready to discuss how you've managed multiple priorities and adapted to shifting demands in previous positions. This is crucial for a role that requires context-switching effectively in a dynamic environment.
