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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