At a Glance
- Tasks: Build innovative data-driven solutions and collaborate with a talented team.
- Company: Remote-first consultancy focused on software engineering and data solutions.
- Benefits: Private healthcare, generous leave, learning budget, and wellbeing support.
- Other info: Embrace diversity and enjoy flexible working for a balanced lifestyle.
- Why this job: Join a dynamic team and make a real impact in the tech world.
- Qualifications: Experience in data engineering, Python, SQL, and strong problem-solving skills.
The predicted salary is between 60000 - 80000 € per year.
Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay. We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.
About the role
As a Senior Data Engineer at YLD, you’ll be part of a client team building innovative products. We’re looking for someone curious, passionate, driven, and enthusiastic. You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. You’re also an effective communicator and a strong team player. Together with your team, you’ll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects.
Preferred Skills
- Strong experience in Data Engineering, including building and deploying data-driven solutions in production;
- Proficiency in Python and common data libraries for analysis, modelling, and data processing;
- Hands-on experience with machine learning techniques, statistical modelling, and data analysis;
- Solid knowledge of SQL and working with relational databases;
- Good understanding of data pipelines, data preprocessing, and feature engineering;
- Curiosity and openness to working in AI-assisted development environments, including experimenting with agentic coding tools and AI-driven workflows to improve productivity and quality;
- Strong problem-solving skills and ability to work effectively in cross-functional teams;
- Use AI tools to augment your work, applying sound judgement to adopt emerging technologies where they genuinely add value and increase your impact as an engineer.
You should apply if you are:
- Self-motivated, proactive, and always looking for ways to improve and develop yourself;
- A good communicator, both in writing and verbally. You’ll be able to explain technical ideas and concepts in business-friendly language;
- Detail-oriented;
- Possess strong problem-solving skills that balance innovation with pragmatic technology choices to solve business needs;
- Used to working in a team-oriented, collaborative environment;
- Analytical and problem-solving-oriented;
- A genuine believer in diversity and fairness.
Benefits you’ll receive
- Company Private Health care
- Enhanced fully paid maternity and paternity leave for up to 6 months
- Enhanced pension scheme
- 25 days annual holiday (excluding Public Holidays)
- £2000 annual learning and development budget for training courses and conferences
- £300 annual allowance for additional hardware
- Wellbeing & Performance Support via Oli including Therapy and Coaching
- Discretionary Bonus (depending on Company performance and results)
We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work-life balance as standard for all employees.
Senior Data Engineer employer: YLD
At YLD, we pride ourselves on being a remote-first consultancy that fosters a culture of curiosity and collaboration, making it an exceptional place for talented individuals to thrive. With a strong focus on employee growth, we offer generous benefits such as enhanced parental leave, a substantial learning budget, and a commitment to work-life balance, ensuring our team members can develop their skills while enjoying a fulfilling personal life. Join us in London, Lisbon, or Porto, where you'll be part of a dynamic team dedicated to delivering innovative data solutions that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend virtual meetups, and engage with professionals 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 Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python, SQL, and machine learning. We love seeing real-world applications of your expertise, so make sure to highlight your problem-solving abilities and innovative solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex technical concepts in simple terms. At StudySmarter, we believe that being able to convey your ideas clearly is just as important as your technical prowess, especially in a collaborative environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for curious and passionate individuals who are ready to grow with us. So, take that leap and submit your application today!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for data engineering shine through! We want to see your curiosity and passion for building innovative products. Share examples of projects that excited you and how you tackled challenges.
Tailor Your Skills:Make sure to highlight your experience with Python, SQL, and data pipelines in your application. We’re looking for someone who can design scalable architectures, so be specific about your hands-on experience and the tools you've used.
Communicate Clearly:Remember, we value good communication! Use clear, business-friendly language to explain your technical skills and experiences. This will show us that you can bridge the gap between tech and business effectively.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at YLD
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially in Python and SQL. Be ready to discuss your experience with building and deploying data-driven solutions, as well as any machine learning techniques you've used. They’ll want to see how you can apply your knowledge in real-world scenarios.
✨Show Off Your Problem-Solving Skills
Prepare to tackle some problem-solving questions during the interview. Think of examples where you've designed scalable architectures or solved complex data issues. Highlight your thought process and how you approach challenges, as this role requires a strong analytical mindset.
✨Communicate Like a Pro
Since effective communication is key, practice explaining technical concepts in simple terms. You might be asked to describe your projects or methodologies, so make sure you can articulate your ideas clearly and concisely. Remember, they value good communicators who can bridge the gap between tech and business.
✨Embrace Curiosity and Collaboration
Demonstrate your curiosity about new technologies and your willingness to experiment with AI tools. Share experiences where you’ve worked collaboratively in cross-functional teams. They’re looking for someone who thrives in a team-oriented environment and is eager to learn and grow.
