At a Glance
- Tasks: Develop tools and operations to support data scientists in processing internet performance data.
- Company: Join Ookla, a leader in connectivity intelligence, part of Accenture.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team culture that values individuality and collaboration.
- Why this job: Make an impact by working with cutting-edge technologies on real-world data challenges.
- Qualifications: Experience in programming, particularly Python, and a passion for data accuracy.
The predicted salary is between 50000 - 56000 £ per year.
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:
- 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.
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.
Data Engineer II employer: Ookla
Ookla is an exceptional employer that prioritises employee well-being and professional growth, offering competitive salaries and a comprehensive benefits package focused on health and wellness. With a dynamic and collaborative work culture, employees are empowered to thrive in their roles while enjoying a strong work-life balance, supported by mentorship programs and recognition initiatives. Located in the DACH & Benelux region, Ookla fosters deep business relationships and innovation, making it an ideal place for those looking to make a meaningful impact in the technology sales landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer II
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ookla!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer II at Ookla.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ookla.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer II at Ookla, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer II
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ookla, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ookla. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ookla
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ookla!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
