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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.
1 day ago Be among the first 25 applicants
Description
Ookla is a global leader in connectivity intelligence, offering unparalleled network insights through the combined expertise of Speedtest , Downdetector , RootMetrics , and Ekahau . Ookla’s complementary 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 a group of people brought together through passion and inspired by possibility. We are looking for team members who love solving problems, are motivated by challenges, and enjoy turning clever ideas into exceptional products. When you work for us, you are using Ookla data and insights to advance our mission of better connectivity for all.
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!
Ookla is looking for a Data Engineer to help us scale our SaaS Platform & Applications further to take on more customers and data. Daily you will be working with data pipelines taking our raw data, delivered through APIs, to enhanced datasets that can be used by data analysts and data scientists.
Expectations for Success:
- Participate in the design and help drive the implementation of our data platform
- Design, implement, and operate streaming and batch pipelines that scale
- Partner with both engineers and data analysts to build reliable datasets that can be trusted, understood, and used by the rest of the company
- Help manage our SingleStore database, optimizing performance for queries and tables
Requirements:
- Experience working with data pipelines in at least one cloud, preferably AWS
- Know and have worked with Python or Java
- Comfortable in SQL
- Experience in creating, and optimising, data models suited for data analysts used in BI tools such as Tableau
- Embrace a fast-paced start-up environment
- Have prior professional experience in building streaming and batch pipelines
- Familiarity with data orchestration (Apache Airflow)
- Experience with docker/kubernetes
- Know your way around data warehouse solutions such as BigQuery and/or Amazon Redshift
- Should be passionate about your job and enjoy a fast paced international working environment
- Background or experience in the telecom industry is a plus but not a requirement
- Love automating and enjoy monitoring
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Industries
Technology, Information and Internet
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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.
