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- Tasks: Develop and maintain data pipelines, collaborating with teams for impactful solutions.
- Company: Data Intellect is a consultancy firm specialising in data and technology solutions for financial markets.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and skill development.
- Why this job: Join a diverse team tackling big data challenges in finance and beyond.
- Qualifications: Proficiency in Python and Pandas, with experience in SDLC and version control systems required.
- Other info: Remote work is not available; this is a contract position.
The predicted salary is between 36000 - 60000 £ per year.
Key ResponsibilitiesDevelop and maintain core data pipelines supporting FX BAU and small enhancement projectsCollaborate with cross-functional teams to deliver high-impact data solutionsContribute to both strategic initiatives and day-to-day operationsWork independently and as part of a team to manage multiple priorities and context-switch effectivelyEngage with Front Office stakeholders and datasets particularly within FICC asset classesQualifications : Tech stackProficiency in Python: Solid experience writing clean efficient and scalable Python code.Data Manipulation with Pandas: Strong understanding of dataframes data cleaning transformation and analysis using the Pandas library.Software Development Life Cycle (SDLC): Demonstrated experience working across all phases of the SDLC including requirements gathering design development testing deployment and maintenance.Familiarity with version control systems (e.g. Git) and CI/CD pipelines.Experience with unit testing and debugging Python applicationsCore AttributesSelf-starter with excellent organisational skillsComfortable working independently and collaborativelyProven ability to manage multiple initiatives simultaneouslyExperience in fast-paced environments with shifting prioritiesStrong communication skills and stakeholder engagementPreferred ExperienceFront Office experience particularly in FICC asset classes Exposure to FX datasets and trading environmentsFamiliarity with agile methodologies and project deliveryAdditional Information : A little background on DISimply put we turn big data problems into smart data solutionsAt 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 opportunitiesData 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.#ChallengeAcceptedRemote Work : NoEmployment Type : Contract Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Experience: years Vacancy: 1
Data Engineer Contractor (Python Pandas) employer: Dr Jobs
Contact Detail:
Dr Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Contractor (Python Pandas)
✨Tip Number 1
Familiarise yourself with the specific tech stack mentioned in the job description, especially Python and Pandas. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your skills.
✨Tip Number 2
Engage with the data engineering community online. Join forums, attend webinars, or participate in discussions related to data pipelines and FICC asset classes. This can help you gain insights and potentially connect with current employees at Data Intellect.
✨Tip Number 3
Prepare to discuss your experience with the Software Development Life Cycle (SDLC) during interviews. Be ready to provide examples of how you've managed projects through various phases, particularly focusing on data manipulation and testing.
✨Tip Number 4
Highlight any experience you have with agile methodologies and stakeholder engagement. Being able to demonstrate your ability to work collaboratively in fast-paced environments will make you a more attractive candidate for this role.
We think you need these skills to ace Data Engineer Contractor (Python Pandas)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your proficiency in Python and experience with Pandas. Include specific examples of data pipelines you've developed and any relevant projects that showcase your skills in data manipulation and analysis.
Craft a Compelling Cover Letter: In your cover letter, emphasise your ability to work independently and collaboratively. Mention your experience with the Software Development Life Cycle (SDLC) and how you've engaged with stakeholders in previous roles, particularly in fast-paced environments.
Showcase Relevant Experience: If you have front office experience or familiarity with FICC asset classes, make sure to highlight this in your application. Discuss any exposure to FX datasets and how it relates to the role you're applying for.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A clean, error-free application reflects your attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at Dr Jobs
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python, especially in writing clean and efficient code. You might be asked to solve a coding problem or explain how you've used Python in past projects, so brush up on your knowledge of data manipulation with Pandas.
✨Understand the SDLC
Familiarise yourself with the Software Development Life Cycle (SDLC) as you may be questioned about your experience across its phases. Be ready to share specific examples of how you've contributed to requirements gathering, design, development, testing, and deployment.
✨Communicate Effectively
Strong communication skills are essential for this role, especially when engaging with Front Office stakeholders. Practice articulating your thoughts clearly and concisely, and think of examples where you've successfully collaborated with cross-functional teams.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines, data cleaning, and transformation. Review key concepts around dataframes and be ready to discuss your familiarity with tools like Git, CI/CD pipelines, and unit testing in Python applications.
