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- Tasks: Build and enhance data infrastructure software for impactful client projects.
- Company: YLD, a forward-thinking software engineering consultancy with a focus on client success.
- Benefits: Private healthcare, generous leave, training allowances, and mental health support.
- Why this job: Join a dynamic team and mentor others while working with cutting-edge data technologies.
- Qualifications: Proven experience in Python, JavaScript, and modern data pipeline tools.
- Other info: Remote-first culture promoting work-life balance and career growth.
The predicted salary is between 60000 - 80000 £ per year.
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 available 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.
Senior/Staff Data Engineer in London employer: YLD
Contact Detail:
YLD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior/Staff Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research common questions for Data Engineers and practice your responses. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 3
Showcase your projects! Whether it's on GitHub or a personal website, having a portfolio of your work can really set you apart. Make sure to highlight any relevant experience with data pipelines, APIs, and the tech stack mentioned in the job description.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at YLD!
We think you need these skills to ace Senior/Staff Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior/Staff Data Engineer. Highlight your experience with Python, JavaScript, and any relevant data pipeline technologies like dbt or Kafka. We want to see how your skills align with what we do!
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 at YLD. Be sure to mention any mentoring experience, as we value collaboration.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in previous roles. We love candidates who can balance innovation with practical solutions, so don’t hold back on sharing your success stories!
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 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, dbt, and Kafka. Brush up on your knowledge of data pipelines and be ready to discuss how you've used these tools 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. This will demonstrate your exceptional communication skills and your ability to collaborate effectively with both technical and non-technical stakeholders.
✨Emphasise Mentorship Experience
Since the role involves coaching and mentoring other engineers, be ready to share your experiences in guiding others. Highlight any instances where you’ve helped colleagues grow their technical expertise or contributed to team development.