Data Engineer II

Ziff Davis; United Kingdom; On-site; GBP 45,000 - 75,000; Full time

Job summary

A leading global connectivity intelligence company seeks a Data Engineer to enhance their SaaS platform. The role involves designing data pipelines, collaborating with teams, and managing data performance in a fast-paced environment. If you are innovative and skilled in cloud technologies, this is the opportunity for you.

Qualifications

• Experience with AWS and cloud-based data pipelines.
• Ability to design and implement scalable data solutions.
• Familiarity with data orchestration and warehouse solutions.

Responsibilities

• Design and implement data platforms and pipelines.
• Collaborate with engineers and analysts on data management.
• Optimize database performance for data accessibility.

Skills

Data pipelines

Python

Java

SQL

Data models

Cloud environments

Streaming and batch pipelines

Docker

Kubernetes

BI tools

Job description

Description

Position at Ookla

Ookla is a global leader in connectivity intelligence, offering unparalleled network insights through the combined expertise of Speedtest, Downdetector, RootMetrics, and Ekahau. Ookla's datasets combine crowdsourced and controlled, public and private collection methods, QoS and QoE metrics, and more to unlock correlations and actionable insights—helping organizations optimize networks, enhance digital experiences, and create better connected experiences for end-users.

Our team is passionate and inspired by possibility. We seek team members who love solving problems, are motivated by challenges, and enjoy turning clever ideas into exceptional products. Working with us means using Ookla data and insights to advance our mission of better connectivity for all.

We are committed to providing a flexible work environment where individuality, fun, and talent are valued equally. If you consider yourself innovative, collaborative, and committed to your work, we want to talk!

Role: Data Engineer

Ookla is looking for a Data Engineer to help scale our SaaS Platform & Applications to serve more customers and data. You will work with data pipelines transforming raw data from APIs into datasets used by data analysts and data scientists.

Expectations for Success

• Participate in designing and implementing our data platform
• Design, implement, and operate scalable streaming and batch pipelines
• Collaborate with engineers and data analysts to build reliable, understandable datasets
• Manage and optimize performance of our SingleStore database

Requirements

• Experience with data pipelines in cloud environments, preferably AWS
• Proficiency in Python or Java
• Comfortable with SQL
• Experience creating and optimizing data models for BI tools like Tableau
• Ability to thrive in a fast-paced startup environment

• Experience building streaming and batch pipelines
• Familiarity with data orchestration tools like Apache Airflow
• Experience with Docker/Kubernetes
• Knowledge of data warehouse solutions such as BigQuery or Amazon Redshift
• Passionate about your work and comfortable in an international environment
• Telecom industry experience is a plus but not required
• Enjoy automating processes and monitoring systems