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- Tasks: Join us as a Data Engineer to build and optimise data pipelines for our SaaS platform.
- Company: Ookla is a global leader in connectivity intelligence, known for Speedtest and Downdetector.
- Benefits: Enjoy a flexible work environment that values individuality and offers fun corporate perks.
- Why this job: Be part of a passionate team solving real-world connectivity challenges with innovative solutions.
- Qualifications: Experience with cloud data pipelines, proficiency in Python or Java, and SQL skills required.
- Other info: Telecom experience is a bonus, but your passion and innovation are what matter most!
The predicted salary is between 36000 - 60000 £ per year.
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
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Data Engineer II employer: Ziff Davis
Contact Detail:
Ziff Davis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer II
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, Python, and SQL. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of Ookla on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 3
Prepare to discuss your problem-solving skills and how you've tackled challenges in previous roles. Ookla values innovation and collaboration, so be ready to share specific examples that highlight your ability to work effectively in a team.
✨Tip Number 4
Stay updated on industry trends related to data engineering and connectivity intelligence. Being knowledgeable about the latest developments can help you demonstrate your passion for the field and your commitment to contributing to Ookla's mission.
We think you need these skills to ace Data Engineer II
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Data Engineer II position at Ookla. Understand the key responsibilities and required skills, such as experience with data pipelines, proficiency in Python or Java, and familiarity with cloud environments.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that match the job requirements. Emphasise your experience with data pipelines, SQL, and any tools mentioned like Apache Airflow or Docker. Use specific examples to demonstrate your achievements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your alignment with Ookla's mission of better connectivity. Mention how your background and skills can contribute to their team and projects, and express your enthusiasm for the role.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial in a data engineering role. Consider asking a friend or colleague to review it as well.
How to prepare for a job interview at Ziff Davis
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data pipelines, especially in cloud environments like AWS. Highlight your proficiency in Python or Java and your comfort with SQL, as these are crucial for the role.
✨Demonstrate Problem-Solving Abilities
Ookla values team members who love solving problems. Prepare examples of challenges you've faced in previous roles and how you overcame them, particularly in relation to data engineering.
✨Familiarise Yourself with Their Tools
Research the tools mentioned in the job description, such as Apache Airflow, Docker, and Kubernetes. Being able to discuss your experience with these tools will show your readiness to contribute from day one.
✨Emphasise Collaboration
Since the role involves working closely with engineers and data analysts, be ready to talk about your collaborative experiences. Share examples of how you've worked effectively in teams to build reliable datasets.
