or apply directly on Exadel's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 8 days Exadel's roles stay open a median of 43 days
- Reposted
- No
- Salary listed
- No 16% of Exadel's roles list one
- Ghost-job risk at Exadel
- high 34 stale, 3 reposted of 80 open
- Hiring momentum
- 167 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Exadel's own greenhouse board since 2026-08-03. Full hiring picture for Exadel.
About this role
As a Senior Analytics Engineer at Exadel, you will design and maintain scalable data pipelines, transforming and modeling data from various sources. Your role involves optimizing data processing solutions using Databricks and Apache Spark, ensuring data quality and reliability, and collaborating with cross-functional teams to support business analytics. You will also take ownership of technical solutions from development to deployment, contributing to CI/CD practices and leveraging AI-assisted tools for efficiency.
- benefits
- 5/5
- freshness
- 5/5
- career value
- 5/5
- role clarity
- 5/5
- 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 Exadel as an employer.
What you need
- Professional experience in Data Engineering, Analytics Engineering, or a related field
- Proven experience building and operating production-grade data pipelines
- Strong hands-on experience with Databricks, including Workflows, Jobs, and Unity Catalog
- Advanced experience with Apache Spark, using PySpark and/or Scala
- Experience processing and optimizing large-scale datasets, including datasets containing hundreds of millions of records
- Advanced SQL skills, including complex queries, data transformations, and query optimization
Nice to have
- Experience supporting cloud migration and data modernization initiatives, particularly migrations from GCP to AWS
- Experience with AWS services, including S3, Glue, and Lake Formation
- Familiarity with Google Cloud Platform (GCP) or other major cloud platforms
- Experience with modern Lakehouse architectures and Semantic Layer concepts
- Experience integrating REST APIs and processing JSON data
What you get
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
Worth weighing
- No salary listed
- Compensation details are shared at an early stage of recruitment
- Job description is not exhaustive and duties may evolve based on business needs
Summarised from Exadel's posting. Read the full original.
Listed by Exadel on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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