Data Engineer II

Ookla; Greater London; On-site; GBP 50,000 - 56,000; Full time

Job summary

Ookla invites a Senior Data Engineer to join our Data Engineering team, shaping data tools, libraries, and processing systems for mobile and fixed internet performance analysis. You will build scalable data pipelines, collaborate with data scientists, and drive performance improvements across Redshift, Spark, and lakehouse environments.

Ideal candidates have 3+ years in Python, strong SQL, and experience with distributed data processing.

Qualifications

• 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.

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.

Skills

Python

Java

Scala

SQL

Data modeling

OOP concepts

Data processing

Communication

Time management

AWS

Education

Bachelor's degree in Computer Science or related field

Tools

Spark

Airflow

Redshift

Athena

Trino

MySQL

Job description

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.

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