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For Companies At a Glance
- Tasks: Design and develop data infrastructure while collaborating with a dynamic team.
- Company: Join AlphaSights, a leader in connecting clients with expert knowledge.
- Benefits: Enjoy remote work options, a generous learning budget, and top-notch health insurance.
- Why this job: Be part of a transformative mission, leveraging your skills to drive impactful solutions.
- Qualifications: 5+ years in data engineering, expertise in Python, SQL, and AWS services required.
- Other info: Participate in regular team events and contribute to social responsibility initiatives.
The predicted salary is between 43200 - 72000 £ per year.
At AlphaSights, we search through more than 500 million professionals working in the world today to find the small handful of experts qualified to answer our clients’ needs. They use these insights to drive amazing progress within their organisations. Our mission is to provide access to dispersed, hidden, and underutilised knowledge. We’ve made terrific progress working in this new space, but we’ve only just scratched the surface on how we can apply technology to this problem.
We believe that expertise can be transformative, and this view extends to the people we bring into our engineering organisation. You’ll be a key member of one of our multidisciplinary innovation pods, leveraging your unique experience and expertise to make creative contributions to both our product and technical platform.
What will I be doing?
As a Data Engineer you will:
- Design, develop, deploy and support data infrastructure, pipelines and architectures.
- Take ownership of reporting APIs, ensuring they are designed, developed, and maintained to provide accurate and timely insights for stakeholders.
- Take ownership of the DataOps.
- Monitor dataflows and underlying systems, promoting the necessary changes to ensure scalable, high-performance solutions and assure data quality and availability.
- Have a high degree of autonomy and ownership on projects, while the wider team is being built, towards working within a highly collaborative and supportive team of Data Engineers, Data Scientists and Software and Platform Engineers.
- Work directly with stakeholders and teams to fully understand the business problems and translate it to a data-driven solution.
- Work across the company to not only ingest and unlock value in data, but also help guide the data generation process itself. We are a data-centric team.
- Grow our team by bringing your unique expertise to one of our global technical guilds, and mentoring engineers in your pod.
- Benefit from AlphaSights’ platform, giving you access to world-class experts to help inform your technical solution.
What skills do I need?
- 5+ years of hands-on data engineering development. You can demonstrate the significant impact that your work has had.
- Expert in Python and SQL.
- Experience with SQL/NoSQL databases.
- Experienced with AWS data services.
- Proficiency in DataOps methodologies and tools with experience in implementing CI/CD pipelines and managing containerized applications.
- Proficiency in workflow orchestration tools such as Apache Airflow.
- Experience designing, building and maintaining Data Warehouses.
- Experience working in a collaborative environment with other functional experts (e.g. other engineering teams, product, design, data science, domain experts).
- Knowledge of ETL frameworks and best practices.
- Bonus: Knowledge of Big Data processing/analytical frameworks (i.e. Spark, Trino and Hive).
- Bonus: Knowledge of messaging queue systems and data streaming tools and frameworks.
- Bonus: Experience with Terraform.
- Self-motivated, able to self-improve, learn new and complex technologies.
- A laser focus on delivering value to your users.
Benefits & other nice things
- Time to learn, and flex your creative muscles in an unconstrained environment.
- Generous learning budget to spend as you want (e.g. books, conferences, courses).
- Remote, in-office and hybrid working options available. Please speak to the team to learn more about our vision for the future of work at AlphaSights.
- Regular team events.
- Best in class Health Insurance.
- Social responsibility
- Knowledge for Good.
- iMentor.
AlphaSights is an equal opportunity employer.
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Senior Data Engineer (Remote) – UK Software Engineering London employer: AlphaSights
Contact Detail:
AlphaSights Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Remote) – UK Software Engineering London
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as AWS data services and Apache Airflow. Being able to discuss your hands-on experience with these tools during the interview will demonstrate your readiness for the role.
✨Tip Number 2
Showcase your ability to work collaboratively by preparing examples of past projects where you successfully partnered with other teams. Highlighting your teamwork skills will resonate well with AlphaSights' emphasis on collaboration.
✨Tip Number 3
Prepare to discuss how you've implemented DataOps methodologies in your previous roles. Being able to articulate your experience with CI/CD pipelines and containerized applications will set you apart as a strong candidate.
✨Tip Number 4
Research AlphaSights' mission and values, particularly their focus on transforming expertise into actionable insights. Tailoring your responses to align with their vision will show that you're not just looking for any job, but are genuinely interested in contributing to their goals.
We think you need these skills to ace Senior Data Engineer (Remote) – UK Software Engineering London
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Engineer position at AlphaSights. Tailor your application to highlight how your experience aligns with their needs.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 5+ years of hands-on data engineering development. Provide specific examples of projects where you've made a significant impact, particularly in Python, SQL, and AWS data services.
Showcase Collaboration Skills: AlphaSights values collaboration. Make sure to mention any experience working in multidisciplinary teams, especially with data scientists, software engineers, and product managers. Highlight your ability to translate business problems into data-driven solutions.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or self-directed learning you've undertaken related to data engineering, DataOps methodologies, or new technologies. This shows your commitment to self-improvement and staying current in the field.
How to prepare for a job interview at AlphaSights
✨Showcase Your Data Engineering Experience
Be prepared to discuss specific projects where you've designed, developed, and deployed data infrastructure. Highlight the impact your work had on the organization and how it contributed to solving business problems.
✨Demonstrate Technical Proficiency
Make sure to showcase your expertise in Python, SQL, and AWS data services. Be ready to answer technical questions or even solve coding challenges that demonstrate your skills in these areas.
✨Emphasize Collaboration Skills
Since the role involves working closely with other teams, share examples of how you've successfully collaborated with cross-functional teams in the past. Discuss how you translated business needs into data-driven solutions.
✨Prepare for DataOps Discussions
Familiarize yourself with DataOps methodologies and be ready to discuss your experience with CI/CD pipelines and workflow orchestration tools like Apache Airflow. This will show your understanding of modern data engineering practices.
