At a Glance
- Tasks: Build core infrastructure software 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 holiday, training allowances, and mental health support.
- Other info: Remote-first culture promoting work-life balance and career growth.
- 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.
The predicted salary is between 70000 - 90000 £ 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 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.
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.
As well as the chance to work with a forward-thinking, ethical, and fun group of people, you’ll also get:
- 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
Our typical Recruitment Process looks like this:
- 1st Interview with someone from the Talent team (30/45 mins)
- Technical Interview with our Senior Developers (1h30)
We live and breathe our values, and know you will too:
- Growing every day
- Including everyone
- Relationships built on honesty and ethics
- Inspiring solutions
- Winning together
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.
Remote Senior Data Engineer (UK) in Paisley employer: YLD
At YLD, we pride ourselves on being an exceptional employer that champions the growth and well-being of our team members. With a remote-first culture, we offer flexible working arrangements, comprehensive health benefits, and generous training allowances to ensure our employees thrive both personally and professionally. Join us in a collaborative environment where innovation is celebrated, and your contributions directly impact our clients' success.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Data Engineer (UK) in Paisley
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We think you need these skills to ace Remote Senior Data Engineer (UK) in Paisley
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at YLD. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
