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For Companies At a Glance
- Tasks: Design and develop data infrastructure, pipelines, and architectures to solve real-world problems.
- Company: Join AlphaSights, a leading research platform focused on delivering high-quality insights.
- Benefits: Enjoy remote work flexibility, a learning budget, and a collaborative high-performance environment.
- Why this job: Work with talented colleagues, tackle complex data challenges, and make a real impact.
- Qualifications: 5+ years in data engineering, expertise in Python, SQL, and AWS services required.
- Other info: No visa sponsorship available; equal opportunity employer.
The predicted salary is between 48000 - 84000 £ per year.
The role:
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.
- 5+ 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.
Learn more about our tech organization here !
Please note that unfortunately, we are unable to sponsor visas for this position. AlphaSights is an equal opportunity employer.
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Senior Data Engineer (Remote) - UK employer: AlphaSights
Contact Detail:
AlphaSights Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Remote) - UK
✨Tip Number 1
Make sure to showcase your experience with AWS services, especially Amazon Redshift and Apache Airflow. Highlight any specific projects where you designed or optimized data pipelines, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Emphasize your proficiency in Python and SQL by discussing complex problems you've solved using these languages. Providing examples of clean, efficient code you've written can set you apart from other candidates.
✨Tip Number 3
Show your passion for DataOps methodologies by mentioning any CI/CD pipelines or containerized applications you've worked with. This will illustrate your commitment to modern engineering practices and your ability to deliver high-quality solutions.
✨Tip Number 4
If you have experience with Big Data processing tools like Spark or Hive, make sure to highlight that. Even if it's a bonus, it can give you an edge, especially in a role focused on solving complex data challenges.
We think you need these skills to ace Senior Data Engineer (Remote) - UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data engineering, particularly your expertise in Python, SQL, and AWS. Use specific examples to demonstrate your impact in previous roles.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for solving complex data challenges. Mention how your skills align with the responsibilities outlined in the job description and express your enthusiasm for working in a high-performance environment.
Showcase Your Projects: If you have worked on notable projects involving data pipelines or AWS services, include them in your application. Highlight your role, the technologies used, and the outcomes achieved to illustrate your hands-on experience.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during the interview process. Brush up on DataOps methodologies, CI/CD pipelines, and any relevant tools like Apache Airflow, as these are crucial for the role.
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 you've built or optimized, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Highlight specific instances where you've solved complex data challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing your analytical thinking and ability to deliver results.
✨Emphasize Collaboration
Since this role involves working closely with product managers and designers, share examples of successful collaborations. Discuss how you communicate technical concepts to non-technical team members and how you value input from others.
✨Prepare for Behavioral Questions
Expect questions about your work ethic, attention to detail, and how you handle setbacks. Prepare to discuss your proactive approach to overcoming obstacles and maintaining high standards in your work.
