Mobile attribution · Marketing analytics · Data engineering· Herzliya · global offices·~1,500 globally · ~700 in Israel
AppsFlyer is the dominant Israeli SaaS company in the mobile-attribution + marketing-analytics space — 15,000+ customers, founded 2011, HQ Herzliya, ~700 employees in Israel. The under-the-radar fact for junior data engineers: the platform processes a sustained tens-of-billions of events per day, which makes the data-engineering rigor (Spark, Kafka, Snowflake, BigQuery) more demanding than at most Israeli SaaS — closer to FAANG-scale than typical SaaS pipelines.
Junior Data Engineer / Backend Engineer (Herzliya)
Entry-level data-engineering and backend roles inside AppsFlyer's Herzliya R&D, working on the event-ingestion pipeline (Kafka), batch processing (Spark + Snowflake / BigQuery), and the real-time attribution serving layer. Verified open Backend Engineer roles on careers.appsflyer.com as of 2026.
Eligibility
BSc CS / IS / data students or graduates with hands-on Python or Scala + SQL. Spark / Kafka / Airflow exposure (academic project, OSS contribution, or hobby data pipeline) is a real tiebreaker. AppsFlyer's interview bar emphasizes data-engineering rigor over algorithm speed.
AppsFlyer's intake skews toward CS / IS / data graduates from the Tel Aviv–Herzliya commute belt: Tel Aviv University, IDC, Bar-Ilan, the Open University. The Technion is well-represented for distributed-systems / data-engineering specialists. Mobile-marketing domain knowledge is a tiebreaker most candidates miss — applicants with even hobby-level mobile-app analytics, AdTech, or attribution experience read as informed. The post-2024 ATT (App Tracking Transparency) world has reshaped the product surface, and candidates who can articulate the privacy-forward signal-loss-aware attribution framework have a meaningful advantage. English fluency is non-negotiable — the customer base is global and product specs are English-only.
The process
Pipeline runs through Comeet — same Comeet that monday.com / JFrog use, so CV-parser behavior is well-understood and tunable. After CV screen — typically 7–14 days for junior roles — successful candidates hit a coding screen calibrated to entry level (60–75 minutes). The data-engineering interview includes a Spark or SQL data-modeling exercise, plus a system-design discussion about the event-ingestion pipeline. Tech panel: 90 minutes with two senior engineers, mixing live coding and architecture. A take-home assignment exists at some teams and replaces one round. Manager fit closes the loop. Total time from CV to offer is 3–5 weeks. The Herzliya commute is similar to SolarEdge — easy from north Tel Aviv / Herzliya, harder from south.
AppsFlyer CV — what to include
Lead with one data-pipeline project — even a hobby ETL using Airflow + Spark + Postgres counts. AppsFlyer rewards candidates who've built data systems, not just queried them.
List Spark, Kafka, Airflow, Snowflake, BigQuery, dbt with a project that used each. Tooling-named CVs read concrete; generic 'data engineering' framing reads weak.
Mobile-marketing / AdTech / attribution domain familiarity is a tiebreaker — even reading the IAB MRAID spec or following Apple's ATT documentation counts.
Python or Scala depth, not just Java. AppsFlyer's stack leans Python + Scala for data; Java-only CVs route slower.
If you've worked with privacy-forward analytics frameworks (SKAdNetwork, Privacy Sandbox, Aggregated Measurement API), surface it. Post-2024 ATT, this is exactly the reshaping work happening at AppsFlyer.
Address the Herzliya commute realistically. Local + Tel-Aviv-north candidates have a structural advantage.
Common mistakes that get you filtered
Generic full-stack CV without any data-pipeline experience. AppsFlyer's product is a data company first — pure web-dev framing reads as off-fit.
Listing 'familiar with Spark' without naming what you actually built. The interview will press for concrete pipeline architecture.
Ignoring the privacy / ATT angle. The product surface has been reshaped post-2024; candidates who haven't thought about signal-loss-aware attribution miss a real signal.
Hebrew-only CV. AppsFlyer's customer base is global; English-first or bilingual is the norm.
Mentioning AdTech experience without naming a specific platform (MoPub, AdMob, Liftoff, ironSource). Generic 'AdTech' reads vague.
Insights that aren't on the company's careers page
AppsFlyer processes a sustained tens-of-billions of events per day across its mobile-attribution platform. The data-engineering rigor required at this scale (Spark / Kafka / Snowflake / BigQuery hot paths) is closer to FAANG-scale than typical Israeli SaaS — junior data engineers here are exposed to real distributed-systems problems immediately, not eventually.
Apple's 2021 App Tracking Transparency (ATT) framework structurally reshaped the entire mobile-attribution industry. AppsFlyer's product surface — and therefore its R&D investment — has been pivoting toward privacy-forward, signal-loss-aware attribution methods (SKAdNetwork integration, probabilistic models, aggregated measurement). Junior candidates who can articulate this framework are unusually valuable.
AppsFlyer's customer base is 15,000+ businesses globally including major brands across gaming, e-commerce, finance, and entertainment. The product feedback loop runs at scale — engineering decisions ship into production touching billions of end-user devices, not millions.
Comeet ATS — same Comeet used by monday.com (which acquired Comeet) and JFrog. CV-parser behavior is shared across these three Israeli SaaS companies; tactics tuned for one transfer to the others.
AppsFlyer is one of the few Israeli SaaS companies where data-engineering and backend tracks are differentiated and both heavily staffed. Most Israeli SaaS lumps these into 'backend engineer'; AppsFlyer's pipeline volume justifies a separate data-engineering function with its own interview loop.
The Herzliya office is in the same commercial cluster as Microsoft Israel, Apple Israel, SolarEdge, and several SaaS unicorns. Network-effect candidates can interview at multiple companies in adjacent buildings within the same week — useful logistically but means competition for offers is dense in the local talent market.
Does your CV match AppsFlyer?
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