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- Tasks: Build core infrastructure software and mentor fellow engineers in a dynamic environment.
- Company: YLD empowers clients to revolutionise their sectors through exceptional design and engineering.
- Benefits: Enjoy remote work flexibility and a commitment to work-life balance.
- Why this job: Join a mission-driven team that values innovation and client success while enhancing your technical skills.
- Qualifications: Experience in Python/PySpark, Node.js, and cloud environments is essential.
- Other info: We celebrate diversity and are an equal opportunity employer.
The predicted salary is between 36000 - 60000 £ per year.
About YLD: Everything we do is to empower our clients to move forward. Great technology companies are built on incredible design, engineering and strategy, working in unison, operating at the very heart of an organisation and its audience. Enabling organisations to become great technology companies is our mission, and our promise to our clients. We aim to leave them with the mindset, tools, skills and expertise they need to go beyond their own expectations, revolutionise their sectors, and for us to be proud of the change we create with them and their customers.
Location: Remote EU
Department: Engineering
Employment: Contract
About the role: As a Data Engineer in this role, you will be responsible for building core infrastructure software (pipelines, APIs, data modelling, tracking events) as part of our client's data platform team. Your work will include instrumenting systems for performance, and enhancement throughout. You will work on ensuring these data offerings are to various internal & external stakeholders using secure authentication patterns. Your role will include choosing and implementing the appropriate technologies for scaling data access patterns, batch processing, handling data from third-party suppliers, supporting documentation, and supplying data to researchers—all while considering the unique domain knowledge of the client's business. As a senior collaborator on the team, you will coach and mentor other engineers to support the growth of their technical expertise.
Technical competencies:
- Proven experience writing highly maintainable and performant Python/PySpark code
- Experience with Node.js and FinTech integrations (QuickBooks, Plaid)
- Good understanding of Cloud environments
- Good understanding of containerisation platforms such as Docker and container orchestration systems such as Kubernetes
- Experience working with data lakes; experience with Spark or Databricks
- Understanding of common data transformation and storage formats, e.g. Apache Parquet
- Familiar with version control systems such as Git and GitHub
- Experience with VCL and BCL would be a plus, but not required
Non-Technical competencies:
- Problem-solving skills that balance innovation with pragmatic technology choices to solve business needs
- Comfortable working in a dynamic production environment and taking care of client expectations effectively
- Distinct customer focus and quality mindset
- Experience working closely with engineering leadership and architects to deliver high-quality solutions
- Experience maintaining a high-degree of ownership and transparency in deliverables
- An exemplar of YLD's brand and safeguarder of our reputation
- Exceptional communication skills, able to communicate complex ideas in a simple fashion
We're an equal opportunity employer and value diversity of all kinds. We don't discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability status. We also believe in work-life balance and offer flexible working around our core hours.
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Information Technology
Industries: Technology, Information and Internet
Contract Data Engineer (Python/JS) employer: YLD
Contact Detail:
YLD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract Data Engineer (Python/JS)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Node.js, and cloud environments. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during discussions.
✨Tip Number 2
Network with current or former employees of YLD on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your problem-solving approach in detail. Given the emphasis on balancing innovation with pragmatic technology choices, be ready to share examples of how you've tackled complex challenges in previous roles.
✨Tip Number 4
Showcase your communication skills by practising how to explain complex technical concepts in simple terms. This is crucial for a role that involves collaboration with various stakeholders, so consider mock interviews to refine this skill.
We think you need these skills to ace Contract Data Engineer (Python/JS)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Node.js, and any relevant FinTech integrations. Emphasise your familiarity with cloud environments and containerisation platforms like Docker and Kubernetes.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with YLD's mission. Mention specific projects where you've successfully implemented data pipelines or worked with data lakes.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your problem-solving abilities, especially in dynamic production environments. Highlight how you've balanced innovation with practical technology choices in past roles.
Highlight Communication Skills: Since exceptional communication is key for this role, include instances where you've effectively communicated complex ideas to non-technical stakeholders. This will show your ability to convey technical concepts simply.
How to prepare for a job interview at YLD
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, Node.js, and any relevant data engineering tools. Highlight specific projects where you've built data pipelines or worked with cloud environments, as this will demonstrate your technical competency.
✨Understand the Company’s Mission
Familiarise yourself with YLD's mission to empower clients through technology. Be ready to explain how your skills and experiences align with their goals of revolutionising sectors and enhancing client capabilities.
✨Prepare for Problem-Solving Scenarios
Expect to encounter questions that assess your problem-solving abilities. Think of examples where you balanced innovation with practical solutions, especially in dynamic environments, as this reflects the role's requirements.
✨Communicate Clearly and Effectively
Since exceptional communication is key, practice explaining complex technical concepts in simple terms. This will not only showcase your expertise but also your ability to mentor and coach others, which is a crucial part of the role.
