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Why this grade This listing scored 39/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
We are looking for an engaged and passionate Senior Data Engineer to join our growing Engineering Team. In this role, you will be a key member of the team managing our analytics and event platform stack.
As part of the Analytics & Data Platform team, you will build features for over 22,000 customers across the globe. Your work will unlock the value of data, empowering our customers to make informed decisions through real-time insights, monitoring, and comprehensive analytical reports.
Your role at Aircall
- Have key responsibilities within the requirements analysis, scalable & low latency streaming platform solution design, architecture, and end-to-end delivery of key modules in order to provide near real-time data solutions for our product
- Analyze and translate business needs into data model & optimize for big data
- Identify slow queries and optimize for better performance
- Write clean scalable code using Scala / python / SQL and test and deploy applications and systems
- Solve our most challenging data problems, in near real-time, utilizing optimal data architectures, frameworks, query techniques, sourcing from structured and unstructured data sources.
- Be part of an engineering organization delivering high quality, secure, and scalable solutions to Aircall clients
- Involvement in product and platform performance optimization and live site monitoring
- Mentor team members through giving and receiving actionable feedback.
Our tech. stack:
- AWS (Kinesis,Kafka, s3, DMS, Glue, EMR, EKS, Redshift, Spectrum), Apache Pinot, Apache Flink and Airflow.
- A continuous deployment process based on GitLab
A little more about you:
- A Bachelor's degree in a technical field (eg. computer science or mathematics).
- 3+ years experience with near real-time analytics
- 5+ years experience with a modern programming language such as Scala, Python, Go, Typescript
- Experience of designing complex data processing pipeline
- Experience of data modeling (star schema, dimensional modeling etc) in AWS redshift
- Experience of query optimisation
- Experience of kafka is a plus
- Shipping and maintaining code in production
- You like sharing your ideas, and you're open-minded
Why join us?
🚀 Key moment to join Aircall in term of growth and opportunities💆♀️ Our people matter, work-life balance is important at Aircall 📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💶 Competitive salary package & benefits (health coverage, lunch, commute, sports)DE&I Statement: At Aircall, we believe diversity, equity and inclusion, irrespective of origins, identity, background and orientations, are core to our Aircall journey. We promote active inclusion to foster a strong sense of belonging which is one of our main strengths as a business. We strive to assemble diverse people that can enrich and learn from each other. We pledge to make sure everyone not only has a seat at the table but is valued at the table -- providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open because we realize that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here.Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 21 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.