Data Engineer II

Posted Yesterday
Be an Early Applicant
Hiring Remotely in United Kingdom
Remote
50K-56K Annually
Mid level
Digital Media
The Role
Design, build, and maintain high-volume distributed data processing jobs and pipelines (Redshift, Athena, Iceberg, Spark, Airflow). Collaborate with data scientists and analysts to productionize models, optimize performance, troubleshoot systems, and mentor junior engineers. Support lakehouse/data warehouse management and ensure data accuracy and efficiency.
Summary Generated by Built In

The Opportunity:

We’re looking for a Senior Data Engineer to join the Ookla Data Engineering team and help us process the world’s best collection of data on mobile and fixed internet performance. As a data engineer you will be focused on developing tools, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should have a strong, data-focused programming background and be passionate about accuracy and performance. You will work on big data using the latest technologies.

 

We are committed to providing you a flexible work environment where individuality, fun, and talent are all valued equally. If you consider yourself innovative, adept at collaboration, and you care deeply about the work you do, we want to talk!

 

Key Responsibilities:

 

  •  Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark and Airflow

  •  Work closely with Data Scientists to turn theory and methodology into viable products

  •  Identify bottlenecks in system performance and make recommendations on improving process efficiency

  •  Support and collaborate with data scientists, analysts, and product managers

  • You are enthusiastic about mentoring and guiding junior team members, helping them understand architectural principles, best practices, and effective ways of working.

 

 

Job Qualifications:

 

We are looking for the right person, not the exact list of requirements. If you believe your life experience has prepared you for similar challenges, we’d like to hear from you.

 

  •  Bachelor's degree in Computer Science or related field or equivalent experience

  •  Strong understanding of programming concepts with experience in at least 1 OOP language (Python, Scala, Java)

  •  Strong background and 3+ years of direct experience working with Python

  •  Experience with high volume distributed data processing in Spark

  •  Strong working knowledge of SQL, databases (MySQL / Redshift / Athena / Trino), data modeling, and modern data warehouse (lakehouse) management

  •  Excellent troubleshooting and analysis skills

  •  Excited to learn and work with new technologies in a dynamic environment

  •  Strong communication skills both in person and via virtual mediums

  •  Strong time management skills and a self driven work ethic

  •  Experience with AWS cloud services is a plus

  •  Experience with event driven architecture and streaming data pipelines is a plus

  •  Background check required

 

About 

Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched network and connectivity insights. By combining multi-source data with industry-leading expertise, we transform network performance metrics into strategic, actionable insights.

 

Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real-world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected.

 

 

About Accenture

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.

 

Compensation Range 

Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is £50,000 - £56,000. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.

Skills Required

  • Bachelor's degree in Computer Science or related field or equivalent experience
  • Strong understanding of programming concepts with experience in at least 1 OOP language (Python, Scala, Java)
  • Strong background and 3+ years of direct experience working with Python
  • Experience with high volume distributed data processing in Spark
  • Develop high volume data processing jobs across platforms including Redshift, Athena, Iceberg, Spark and Airflow
  • Strong working knowledge of SQL, databases (MySQL / Redshift / Athena / Trino), data modeling, and modern data warehouse (lakehouse) management
  • Excellent troubleshooting and analysis skills
  • Strong communication skills (in person and virtual)
  • Strong time management skills and a self driven work ethic
  • Background check required
  • Experience with AWS cloud services
  • Experience with event driven architecture and streaming data pipelines
  • Enthusiasm for mentoring and guiding junior team members

Ziff Davis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ziff Davis and has not been reviewed or approved by Ziff Davis.

  • Healthcare Strength Employer covers a substantial portion of medical costs and offers multiple plan choices with supportive features such as HSA options, low-deductible access points, and telemedicine. Wellbeing resources and mental health support further reinforce the overall healthcare offering.
  • Parental & Family Support Generous paid parental leave for birth and non-birth parents is complemented by family‑planning support and practical assistance like medical travel and related logistics. Additional caregiving leave and adoption assistance are also described.
  • Leave & Time Off Breadth Flexible Time Off in several regions and dedicated Volunteer Time Off indicate a broad approach to rest and community engagement. Company holidays and paid sick time add to overall time‑off flexibility.

Ziff Davis Insights

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The Company
HQ: New York, NY
2,138 Employees
Year Founded: 1927

What We Do

Ziff Davis (Nasdaq: ZD) is a vertically focused digital media and internet company whose portfolio includes leading brands in technology, entertainment, shopping, health, cybersecurity, and martech.

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