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- Tasks: Design and develop data infrastructure, pipelines, and architectures to solve real-world problems.
- Company: Join AlphaSights, a leading research platform, committed to innovation and collaboration.
- Benefits: Enjoy remote work flexibility, a learning budget, and a high-performance team environment.
- Why this job: Work on complex data challenges while mentoring junior engineers in a supportive culture.
- Qualifications: 3+ years in data engineering with expertise in Python, SQL, and AWS services.
- Other info: Open to diverse backgrounds; we value unique perspectives in problem-solving.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a highly talented and driven Data Engineer who takes pride in their work, to expand our Engineering team in London. Successful candidates will join a cross functional team including product managers and designers working closely with the rest of our business to deliver working code that solves real problems for both internal and external customers. You will take ownership of the services managed by your team, ensuring that their development aligns with the higher level AlphaSights Engineering strategy, while mentoring more junior Engineers. If you’re passionate about solving complex data challenges with code, and enjoy collaborating with talented colleagues in a high-performance environment, this role is a perfect fit for you.
What you’ll do:
- Design solutions: Design, develop, deploy and support data infrastructure, pipelines and architectures, contributing to an architectural vision that will scale up to be the world’s leading research platform.
- Ship working code: Write clean, efficient, and maintainable code that powers data pipelines, workflows, and data operations in a production environment. Implement reliable, scalable, and well-tested solutions to automate data ingestion, transformation, and orchestration across systems.
- Own data operations infrastructure: Manage and optimise key data infrastructure components within AWS, including Amazon Redshift, Apache Airflow for workflow orchestration and other analytical tools. You will be responsible for ensuring the performance, reliability, and scalability of these systems to meet the growing demands of data pipelines and analytics workloads.
- Build your competency: You will learn quickly by building market-leading technology with experienced colleagues in a high performance environment. Engineers can also use our L&D budget to fast-track development of specific technical competencies.
- Maintenance and troubleshooting: Your role will include overseeing configuration, monitoring, troubleshooting, and continuous improvement of our infrastructure to support delivering high-quality insights and analytics.
Who you are:
- You have a degree in a STEM subject, but we’re happy to work with people who perfected their craft via a different route.
- 3+ years of hands-on data engineering development experience, with deep expertise in Python, SQL, and working with SQL/NoSQL databases.
- Skilled in designing, building, and maintaining data pipelines, data warehouses, and leveraging AWS data services.
- Strong proficiency in DataOps methodologies and tools, including experience with CI/CD pipelines, containerized applications, and workflow orchestration using Apache Airflow.
- Familiar with ETL frameworks, and bonus experience with Big Data processing (Spark, Hive, Trino), and data streaming.
- Proven track record – You’ve made a demonstrable impact in your previous roles, standing out from your peers. We’re looking for people who have incredible potential.
- Highly driven and proactive – you relentlessly and independently push through hurdles and drive towards excellent outcomes.
- Meticulous – you hold high standards and have an obsessive attention to detail.
Don’t worry if your experience or background doesn’t match all of these areas, we believe a broad spectrum of experience provides great perspective on solving problems in new and innovative ways and we’d love to hear from you.
Data Engineer (Remote) - UK employer: AlphaSights
Contact Detail:
AlphaSights Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Remote) - UK
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, Apache Airflow, and Python. Having hands-on experience or projects that showcase your skills in these areas can significantly boost your chances.
✨Tip Number 2
Network with current or former employees of StudySmarter or similar companies. Engaging with them on platforms like LinkedIn can provide you with insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those that involved data pipelines and infrastructure management. Be ready to explain your thought process, challenges faced, and how you overcame them, as this demonstrates your problem-solving abilities.
✨Tip Number 4
Showcase your passion for continuous learning and improvement. Mention any relevant courses, certifications, or personal projects that highlight your commitment to staying updated with industry trends and technologies, as this aligns with the company's values.
We think you need these skills to ace Data Engineer (Remote) - UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Python, SQL, and AWS. Use specific examples of projects where you've designed and maintained data pipelines or infrastructure.
Craft a Compelling Cover Letter: In your cover letter, express your passion for solving complex data challenges and your desire to work in a collaborative environment. Mention how your skills align with the job requirements and your eagerness to contribute to the team.
Showcase Your Projects: If you have any personal or professional projects that demonstrate your expertise in DataOps methodologies, CI/CD pipelines, or big data processing, include them in your application. This can set you apart from other candidates.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a role in data engineering.
How to prepare for a job interview at AlphaSights
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and AWS services in detail. Bring examples of data pipelines or projects you've worked on, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to solve complex data challenges. Think of specific scenarios where you had to troubleshoot or optimise a data operation, and articulate your thought process clearly.
✨Highlight Collaboration Experience
Since this role involves working closely with product managers and designers, share examples of how you've successfully collaborated in cross-functional teams. Emphasise your communication skills and how you contribute to team success.
✨Prepare for Cultural Fit Questions
Research the company's values and culture. Be ready to discuss how your personal work ethic aligns with their high-performance environment and how you can contribute to maintaining their standards of excellence.
