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Day 28
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From 11,033 similar postings that came down. Coming down is not always a hire.
Data Engineer II
Madrid, Spain
Live, first seen by us 28 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and develop high-volume data pipelines on Redshift, Athena, Iceberg, Spark and Airflow
Implement monitoring, alerting and data quality checks for pipeline reliability
Contribute to architecture decisions and technical design for new data platform work
Review code and set team standards for data quality, testing and documentation
Support data scientists, analysts, product managers and integrating teams
From the employer’s posting
Design and develop high volume data processing pipelines across various platforms including Redshift, Athena, Iceberg, Spark and Airflow
Implement monitoring, alerting, and data quality checks to ensure pipeline reliability and data accuracy
Contribute to architectural decisions and technical design discussions for new data platform initiatives
Participate in code reviews and contribute to team standards for data quality, testing, and documentation
Support and collaborate with data scientists, analysts, product managers and integrating teams
What you’ll bring
All qualificationsCore experience
- 5+ years of professional data engineering experience
- Bachelor's degree in Computer Science or related field, or equivalent experience
- Strong, data-focused programming background
Qualification wording
5+ year of professional experience in data engineering
Bachelor's degree in Computer Science or related field or equivalent experience
Applicants should have a strong, data-focused programming background
Education & alternatives
Job Qualifications: - Bachelor's degree in Computer Science or related field or equivalent experience - 5+ year of professional experience in data engineering
About Ziff Davis
We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 8, 202628 days ago
- Recorded sightings
- 52
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Ziff Davis is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Iceberg
- MySQL
- Prefect
- Redshift
- Spark
- Airflow
- Dagster
Where the posting names them
- Workflow orchestrators (Dagster, Airflow, Prefect) - Experience working with Python - Strong communication skills both in person and via virtual mediums
- 5+ year of professional experience in data engineering - Expertise in SQL, databases (MySQL / Redshift / Athena), Data modeling - Workflow orchestrators (Dagster, Airflow, Prefect)
- Experience with high volume distributed data processing in Spark - Experience with AWS cloud services - Background check required
Key Responsibilities: - Design and develop high volume data processing pipelines across various platforms including Redshift, Athena, Iceberg, Spark and Airflow - Implement monitoring, alerting, and data quality checks to ensure pipeline reliability and data accuracy
- Expertise in SQL, databases (MySQL / Redshift / Athena), Data modeling - Workflow orchestrators (Dagster, Airflow, Prefect) - Experience working with Python
- ETL/ELT design patterns - Experience with high volume distributed data processing in Spark - Experience with AWS cloud services
Your next step
Complete your application on jobs.jobvite.com. The employer’s form will show what is required.
Already applied? Track this application
About Ziff Davis
- People
- About 3,900 in 2025, up 3% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as ZD.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
The Opportunity:
We’re looking for a mid level 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 jobs, 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.
Key Responsibilities:
Design and develop high volume data processing pipelines across various platforms including Redshift, Athena, Iceberg, Spark and Airflow
Implement monitoring, alerting, and data quality checks to ensure pipeline reliability and data accuracy
Contribute to architectural decisions and technical design discussions for new data platform initiatives
Participate in code reviews and contribute to team standards for data quality, testing, and documentation
Support and collaborate with data scientists, analysts, product managers and integrating teams
Job Qualifications:
Bachelor's degree in Computer Science or related field or equivalent experience
5+ year of professional experience in data engineering
Expertise in SQL, databases (MySQL / Redshift / Athena), Data modeling
Workflow orchestrators (Dagster, Airflow, Prefect)
Experience working with Python
Strong communication skills both in person and via virtual mediums
ETL/ELT design patterns
Experience with high volume distributed data processing in Spark
Experience with AWS cloud services
Background check required
Nice to have:
- Experience with large-scale aggregation and geospatial data (H3 / Quadkey/S2), or with multi-source data integration, is a plus
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. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.
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- Pay
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- Location & working pattern
Madrid, Spain
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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