What’s Addressable?

Crypto is entering its most exciting chapter, and companies are racing to adopt crypto payments and launch Web3 products. The opportunity is massive, but most businesses still struggle to truly understand their users behind anonymity. Addressable solves this by matching over 23M crypto wallets to real-world identities, enabling businesses to gain user insights, target with precision, and scale faster. Trusted by 100+ Web3 companies, our platform delivers unmatched intelligence and ROI measurement.

Backed by top VCs, Addressable operates at the intersection of blockchain data, marketing tech, and analytics, setting the standard for crypto marketing — and we’re just getting started :)

As we expand our global presence across Tel Aviv, the US, and the UK, we’re growing our engineering team. You’ll be joining a well-established group of experts who move fast, think strategically, and support one another.

So, what’s the job?

We are looking for a Senior Data Engineer to join our Engineering Team. You will play a crucial role in designing, developing, and optimizing data pipelines for blockchain and social data, along with developing backend ETL infrastructure for our flagship product.

Sounds great! Am I the right fit?

Well, you have a good chance of fitting right in if you check as many of these as possible:

• At least 4 years of experience in data infrastructure, big data, and data engineering.
• Expertise in PySpark, with the ability to effectively use it for data manipulation, analysis, and pipeline development in a large-scale data environment.
• Proficiency in designing, implementing, and optimizing data solutions using Apache Iceberg.
• Proven experience working with NoSQL and SQL database technologies such as Postgres, MongoDB
• Knowledge of working with real time analytics databases such as Clickhouse, Apache Druid, Firebolt, SingleStore, StarRocks or equivalent used for BI solutions
• Experience in working with Linux environments
• Proven experience in building and deploying code in production environments
• Cloud computing experience (AWS, GCP, Azure, or similar).
• A highly motivated and results-driven self-starter, with strong organizational skills and attention to detail. You should be able to learn independently and thrive in a high paced environment.