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Teads

Senior Data Infra Engineer - Big Data

Teads · Netanya

Posted about 3 months ago

or apply directly on Teads's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Teads's roles stay open a median of 78 days
Reposted
No
Salary listed
No
25% of Teads's roles list one
Ghost-job risk at Teads
high
67 stale, 2 reposted of 72 open
Hiring momentum
109 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Teads's own greenhouse board since 2026-08-03. Full hiring picture for Teads.

About this role

As a Senior Data Infra Engineer at Teads, you will design, build, and maintain scalable data pipelines to support the company's data platform. You'll collaborate with data scientists and engineers to ensure data reliability and accessibility, while managing cloud infrastructure primarily on GCP or AWS. Your role will involve optimizing ETL/ELT processes, enhancing data storage solutions, and implementing monitoring systems to ensure data integrity.

Our read on this posting2.4out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Teads as an employer.

What you need

  • 5+ years of data engineering experience, building and operating production data pipelines at scale (TB+ datasets, hourly/daily batch or streaming workloads)
  • Hands-on production experience with Apache Spark and distributed data processing frameworks such as Flink, Hive, or Trino
  • Production experience building and operating data solutions on GCP or AWS, including cloud-native services such as BigQuery, Dataproc, GCS, S3, EMR, or Redshift
  • Production experience with Kafka or Kafka-compatible streaming platforms, including the development, operation, and troubleshooting of real-time data pipelines
  • Strong understanding of data warehouse and data lake concepts, including Medallion Architecture (Bronze, Silver, Gold) and data platform best practices

Nice to have

  • Production experience with a lakehouse table format (Apache Iceberg or Delta Lake)

What you get

  • Hybrid working model (3 days per week in the office)
  • Nearby parking available
  • Expand your toolbox with our mentorship program and internal learning tools
  • Pet friendly office
  • Happy hours
  • Fully stocked kitchen

Worth weighing

  • No salary listed
  • The role involves working in a very high-traffic environment with low latency and high availability constraints
  • The tech stack includes a mix of modern tools but also requires knowledge of legacy systems like Kafka
  • The position requires collaboration across teams, which may involve navigating varying data needs and priorities

Summarised from Teads's posting. Read the full original.

Listed by Teads on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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