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- Tasks: Design and implement data pipelines for our SaaS platform, enhancing datasets for analysis.
- Company: Join Ookla, a leader in connectivity intelligence, known for Speedtest and other innovative brands.
- Benefits: Enjoy competitive salaries, health-focused benefits, and a strong work-life balance with paid time off.
- Why this job: Be part of a passionate team solving real-world problems in a fast-paced, dynamic environment.
- Qualifications: Experience with data pipelines, Python or Java, SQL, and familiarity with cloud platforms like AWS.
- Other info: Opportunity to work in a collaborative culture that values diversity and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Data Engineer II – Applications Engineering
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.
Key Responsibilities:
- 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
Job Qualifications:
- 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
About
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.
About Ziff Davis
Ziff Davis (NASDAQ: ZD) is a vertically focused digital media and internet company whose portfolio includes leading brands in technology, shopping, gaming and entertainment, connectivity, health, cybersecurity, and martech. Today, Ziff Davis is focused on seven key verticals – Technology, Connectivity, Shopping, Entertainment, Health & Wellness, Cybersecurity and Marketing Technology. Its brands include IGN, Mashable, RetailMeNot, PCMag, Humble Bundle, Spiceworks, Ookla (Speedtest), RootMetrics, Everyday Health, BabyCenter, Moz, iContact and Vipre Security.
Ookla offers competitive salaries in addition to robust, health and wellness-focused benefits. We are committed to work-life balance with paid time off when you need it.
At Ziff Davis, we remain dedicated to creating an environment where everyone feels valued, respected, and empowered to succeed. We offer Employee Resource Groups, company-sponsored events, and regular opportunities for professional growth through educational support, mentorship programs, and career development resources. Our employees are recognized and celebrated through employee engagement programs and recognition awards.
If you\’re seeking a dynamic and collaborative work environment where you can see the direct impact of your performance and thrive both personally and professionally, then Ookla is the place for you.
Ziff Davis is an Equal Opportunity Employer. At Ziff Davis, Diversity, Equity, and Inclusion (DEI) has always been about fairness, equal opportunity, and belonging. DEI enables us to attract and retain the best talent, regardless of background or circumstances, while enabling our thousands of employees worldwide to thrive.
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Data Engineer II employer: PCMag.com
Contact Detail:
PCMag.com 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, SQL, and Apache Airflow. 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 previous experience with data pipelines and how you've optimised them for performance. Be ready to share specific examples of challenges you've faced and how you overcame them, as this demonstrates your problem-solving abilities.
✨Tip Number 4
Show your passion for the telecom industry and data engineering by staying updated on the latest trends and technologies. Mentioning recent developments or innovations during your interview can highlight your enthusiasm and commitment to the field.
We think you need these skills to ace Data Engineer II
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with data pipelines, cloud services (preferably AWS), and programming languages like Python or Java. Emphasise any experience you have with SQL and data modelling for BI tools.
Craft a Strong Cover Letter: In your cover letter, express your passion for data engineering and your enthusiasm for working in a fast-paced environment. Mention specific projects or experiences that demonstrate your ability to design and implement data pipelines.
Showcase Relevant Skills: Clearly outline your familiarity with data orchestration tools like Apache Airflow, and any experience with Docker or Kubernetes. If you have worked with data warehouse solutions such as BigQuery or Amazon Redshift, make sure to include that as well.
Highlight Team Collaboration: Since the role involves partnering with engineers and data analysts, mention any past experiences where you successfully collaborated with cross-functional teams. This will show your ability to work well within a team setting.
How to prepare for a job interview at PCMag.com
✨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 be ready to demonstrate your SQL skills through practical examples.
✨Understand the Company’s Data Needs
Research Ookla's products and services to understand how they use data. This will help you tailor your answers to show how your skills can directly benefit their data platform and applications.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples where you've designed or optimised data models, or built streaming and batch pipelines, and be ready to explain your thought process.
✨Emphasise Your Passion for Data Engineering
Convey your enthusiasm for working in a fast-paced environment and your love for automating processes. Share experiences that highlight your commitment to continuous learning and improvement in the field of data engineering.
