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For Companies At a Glance
- Tasks: Build cutting-edge data infrastructure and mentor fellow engineers in a dynamic environment.
- Company: Join YLD, a forward-thinking software engineering consultancy with a focus on client success.
- Benefits: Enjoy private healthcare, generous leave, training allowances, and mental health support.
- Why this job: Make a real impact by developing innovative data solutions for diverse clients.
- Qualifications: Proven experience in Python, JavaScript, and modern data pipeline technologies.
- Other info: Remote-first culture promoting work-life balance and career growth.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Location: UK (Remote)
Department: Engineering
Hours: Full-time
About YLD: Everything we do is to empower our clients to move forward. Our purpose is to help our clients develop the capabilities they need to outperform their competitors. Our success is a consequence of ensuring our clients are successful. Our company is built on extraordinary people; we aim to attract, inspire, develop and retain them. YLD is a software engineering and design consultancy; we create digital capabilities for our clients that last beyond our engagement. We have offices in London, Lisbon, Porto.
About the role: As a Data Engineer in this role, you will be responsible for building core infrastructure software (pipelines, APIs, data modelling) 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, and data streaming for soft real-time consumption while considering the unique domain knowledge of the client\\\’s business. As a senior collaborator on the team, you will coach & mentor other engineers to support the growth of their technical expertise.
Responsibilities
- Build core infrastructure software (pipelines, APIs, data modelling) as part of our client\\\’s data platform team. Instrument systems for performance, and enhancement throughout. Ensure these data offerings are available to various internal & external stakeholders using secure authentication patterns.
- Choose and implement the appropriate technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption while considering the client\\\’s domain knowledge. Collaborate as a senior on the team to coach & mentor other engineers to grow their technical expertise.
Technical competencies
- Proven experience writing highly maintainable, performant Python and JavaScript code;
- Experience building modern data pipelines using dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow (or similar);
- Understanding of Data Modelling patterns;
- Deep knowledge of complex SQL, with emphasis on Common Table Expressions, window functions, and their performance;
- Experience with end-to-end monitoring & alerting experience (CloudWatch, Datadog, etc.).
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 safe-guarder of our reputation;
- Exceptional communication skills, able to communicate complex ideas simply.
Benefits
- Company Private Health care (currently provided by BUPA)
- Enhanced fully paid maternity and paternity leave for up to 6 months
- Company’s Pension Scheme
- 25 days annual holiday (excluding Public Holidays)
- £2000 annual allowance for Training/Conferences
- £300 annual allowance for additional hardware
- Mental Health support: access to Spill app
- Meditation/Sleep support: Headspace or Calm app subscription
- Bonus (depending on Company performance and results)
- Company laptop
- Generous referral schemes
Recruitment Process
- 1st Interview with someone from the Talent team (30/45 mins)
- Technical Interview with our Senior Developers (1h30)
We’re an equal-opportunity employer and value diversity of all kinds. We don’t discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability status. Likewise, we also offer a remote-first working environment, meaning that flexible working and work-life balance come as standard for all employees.
EEO statement kept for compliance purposes.
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Senior Data Engineer (UK) employer: YLD
Contact Detail:
YLD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (UK)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage 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 projects, and be ready to discuss how your skills align with their needs. We want you to shine, so practice common interview questions and have your own questions ready to show your interest.
✨Tip Number 3
Showcase your work! Create a portfolio or GitHub repository to display your projects and code samples. This gives potential employers a taste of your skills and creativity, making you stand out from the crowd.
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer (UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python, JavaScript, and any relevant data pipeline technologies like dbt or Kafka. We want to see how your skills match 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 you can contribute to our team. Be sure to mention your problem-solving skills and customer focus, as these are key to our success.
Showcase Your Projects: If you've worked on any cool projects related to data pipelines or APIs, make sure to include them in your application. We love seeing real-world examples of your work and how you've tackled challenges in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our awesome team!
How to prepare for a job interview at YLD
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, JavaScript, and tools like dbt and Kafka. Brush up on your knowledge of data pipelines and be ready to discuss how you've used these technologies in past projects.
✨Showcase Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, especially in dynamic environments. Think of specific challenges you've faced and how you balanced innovation with practical solutions to meet business needs.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. During the interview, aim to demonstrate your exceptional communication skills by breaking down your thought process and making it easy for the interviewer to follow along.
✨Emphasise Mentorship Experience
Since the role involves coaching and mentoring other engineers, be ready to share your experiences in this area. Discuss how you've supported others in their growth and how you can contribute to building a collaborative team environment.
