Sr. Data Engineer

buscojobs España; Málaga; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading company in connectivity intelligence seeks a senior data engineer to enhance data processing capabilities. The role involves developing tools and collaborating with data scientists to optimize mobile and fixed internet performance. Ideal candidates will have a strong programming background, particularly in Python, and experience with big data technologies.

Servicios

Competitive annual leave

Paid maternity and parental leave

Wellness benefits

Educational opportunities

Formación

• 3+ years of experience working with Python.
• Experience with high volume distributed data processing.
• Strong working knowledge of SQL and databases.

Responsabilidades

• Develop high volume data processing jobs across various platforms.
• Work closely with Data Scientists to turn theory into viable products.
• Identify bottlenecks in system performance.

Conocimientos

Programming concepts

SQL

Data modeling

Troubleshooting

Communication

Time management

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Spark

AWS cloud services

Descripción del empleo

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’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!

Expectations for Success

• 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.

Requirements

We are looking for the right person, not the exact list of requirements. If you believe your life experience has prepared you for similar challenges, we’d like to hear from you.

• 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.

We care deeply about each other and the work we do, and our perks are just one way we demonstrate this. We offer a comprehensive benefits package, including (but not limited to) :

• Competitive annual leave.
• ESPP options.
• Paid maternity and parental leave.
• Wellness benefits (Calm app, gym reimbursement, ERG groups, etc).

You will have the best hardware, software, and tools available for you to do your work, and we provide excellent flexibility for working remotely as time and responsibilities allow. To promote your success and growth, we offer educational opportunities, and anti-racism and LGBTQIA+ resource libraries, team activities, and many more.

If you’re passionate about joining the work we’re doing, we welcome your application and encourage applicants with both traditional and non-traditional experience that makes them an excellent candidate for the role. We strongly believe diversity of all kinds makes us better. We are an equal opportunity employer actively working to build an inclusive workforce at all levels of the company.

Ookla is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law.

We want to ensure candidates have everything they need throughout our application and hiring process. If you have any individual needs related to disability or accessibility, we encourage you to contact and let us know how we can best accommodate you.

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