Data Engineering Manager

At offices in London, Poznan, Singapore

Full Time Senior-level / Expert
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About the Data Engineering at ExpressVPN

Data engineering sits within the Data Group, whose key objective is to enable departments to grow the extent of their data-driven decision making, through a self-serve approach.

Our responsibilities include:

  1. Build and operate data platform services, including defining and tracking its SLA.
  2. Guiding various engineering teams to design models and schemas of the data to be fed into the platform, making sure they can be processed in a scalable way and used by analysts efficiently.
  3. Guiding data analysts on the use of the data platform.
  4. Building libraries/modules and reference implementations of data ingesters on several common tech stacks.
  5. Guarding user privacy. While all teams are responsible for ensuring compliance of their work with our privacy policy, our team also has a veto right against processing any data that might not be compliant.
  6. Partnering with other teams on projects to build data engineering solutions such as for churn-prediction, payment fraud management, and other company-wide challenges.

Other notes about our team:

  • Our tech stack currently is mostly AWS Redshift, BigQuery, Spark, Airflow and Tableau, and we imagine it will evolve significantly over time.
  • We intend to have a range of engineering roles on the team, covering people with backgrounds in software development and infrastructure operations.

Responsibilities of this position

This is a newly created position to become the leader of the data-engineering function. The company’s data pipelines and responsible engineers are currently spread across multiple teams. Your joining the company will mark the beginning of a dedicated data engineering team to support processing the enormous amount of data we collect. Your responsibilities will include:

  1. Create the hiring plan for your team world-wide, design plans for assessing candidates, work with our recruiting-team to source and test candidates, hire and onboard new staff. We’re currently very much under-staffed. You need to grow the team significantly.
  2. Be the people leader for all members of the team. You hire, train, motivate, assign responsibilities, and hold people accountable. You will compare actual versus expected deliverables at high frequencies, and exchange actionable feedback.
  3. Articulate a strategic vision, helping define best practices for cataloging and processing data at scale and making it available to internal and external stakeholders.
  4. Design processes, document them very clearly, measuring their metrics, and improving them.
  5. Be able to perform many of the duties of your team members. Be able to lead by example and be a credible advisor for all roles on your team.

Desired skills and experience

  • Be excellent at Data Engineering.
    • Extensive experience operating large scale data pipelines and databases
    • Extensive experience designing and implementing complicated ETL jobs
    • Expert in SQL
    • Experience in stream processing using tools like AWS Kinesis or Kafka
    • Experience in big data analytic frameworks like Hadoop or Spark (optional)
    • Experience in writing automated tests
  • Enjoy managing people and be very good at it. That means
    • you’ve had several direct reports for at least two years.
    • you’ve demonstrated the ability to develop a team including hiring, coaching and mentoring of team members
  • Be an experienced agile project manager.
  • Requirements gathering and solution architecture. That means
    • you’ve worked with multiple stakeholders to draw out requirements and define use cases
    • you have a proven ability to assess uses cases and requirements, then design suitable solution architectures
    • Relationships and influencing - able to quickly understand how an organisation works, making connections and building effective relationships with key stakeholders and partners such as users in:
      • Data insights; who will use the data platform to provide insights into information available
  • Data source owners; that will need reliable sinks that validate the quality of incoming data
  • Data consumers; that will require highly reliable events to notify them of changes to data entities
  • Process design, to reliably deliver valid data sets to stakeholders
    • Includes documenting and evangelizing for appropriate standards
    • Monitoring performance through appropriate metrics
    • Setting up processes to define how different functions and teams interact to ensure efficiency and quality
  • Fluent English written and verbal communication skills

Hiring process

When it comes to hiring processes, “rigorous” and “opaque” are often mistakenly conflated. For us, it’s always a mutual exchange, so we think it’s important that candidates have a clear understanding of the process and what we’re looking for. Learn more about the hiring process by visiting our careers page.

Benefits

Health and happiness go hand in hand, and we make every effort to support our team members in all facets of their lives—both inside and outside the office. Learn more about our employee benefits by visiting our careers page.

Before you apply

  • At the moment, we do not sponsor visas in the UK and the EU. For Hong Kong, we require at least two years of working experience and a university degree in a related field. For Singapore, we can only sponsor visas for mid-career or above.
  • Please upload your resume as a PDF and do not include any salary or compensation information in it.

ExpressVPN is one of the world’s leading providers of online privacy and security services for consumers. Started in 2009, we’ve grown to have millions of active paying customers, a team of more than 700 people worldwide, and a brand recognized by hundreds of millions of people in 18 languages and more than a hundred countries. We see huge growth in our industry, and are gaining market share through strong execution.

Tags: Agile Airflow AWS Big Data BigQuery Data pipelines Engineering ETL Hadoop Kafka Kinesis Redshift Security Spark SQL Tableau

Perks/benefits: Career development Health care Startup environment Team events

Regions: Asia/Pacific Europe
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