This one is closed
Live roles like this one
-
–
32m ago
Aker Systems United Kingdom
-
D
11h ago
Staff Security Engineer, Incident Response
Databricks Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Spain, Sweden, Switzerland, UK
-
C
11h ago
Nebius Singapore
-
B
6h ago
Nerdio United States $160k - $180k/yr
See every "Azure Data Engineer" role →
Get new “Azure Data Engineer” roles by email
One email a day with what is new in "Azure Data Engineer". Nothing new, no email.
We confirm the address first, and every mail carries an unsubscribe link. Alerts are ours, not a third party's.
Or follow the daily Telegram channel for the best new remote roles every morning.
Why this grade This listing scored 54/100, which is a D. 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.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
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 →
Data Science Senior Full Time
Key Responsibilities
Participate in the modernization and migration of current Azure data and analytics systems to the Databricks Lakehouse Platform.
Support Databricks platform enablement, configuration, and deployment activities.
Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, Azure Functions, and Databricks.
Build scalable data integration solutions across Azure Data Lake, Azure SQL Database, Azure Storage (Blob/File), and Databricks.
Assist in optimizing ingestion and transformation processes for performance, reliability, and cost efficiency.
Migrate legacy data pipelines, workflows, and processing logic into Databricks notebooks or Delta pipelines.
Work with cross-functional teams to understand business requirements and translate them into technical solutions.
Ensure all solutions comply with Marsh MMA standards for security, governance, and data quality.
Perform data validation, unit testing, troubleshooting, and system performance tuning.
Document architecture, workflows, design decisions, and operational procedures.
Required Technical Skills
-
Strong hands-on experience with:
Azure Data Factory (ADF)
SQL / T-SQL
Azure Functions
Azure SQL Database
Azure Data Lake (ADLS Gen2)
Azure Storage (Blob / File)
Databricks (Notebooks, Delta Lake, Spark)
Qualifications
Bachelors degree in Computer Science, Data Engineering, Information Technology, or related field.
Proven experience working with cloud-based data engineering solutions, preferably in Azure ecosystems.
Experience supporting cloud migration or modernization initiatives is a plus.
Strong understanding of ETL/ELT concepts, data modeling, and distributed data processing.
Soft Skills
Strong analytical and problem-solving mindset.
Excellent communication and documentation abilities.
Ability to collaborate with cross-functional teams across technical and business domains.
Detail-oriented with a focus on quality and compliance.
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
Quick question · anonymous · one tap
Would you apply to this job?
Answer to see what other job seekers said.
Your turn · no account needed
Help the next applicant
You may know something about this listing that we cannot see from here. One tap. No account needed. Signed-in reports earn points once the evidence agrees with you.
I know what it pays
Sign in with Google to earn points for reports — 100 confirmed points buy a week of Early Access.
Where this listing came from
- 11 Oct 2026 Himalayas first sighting
Seen on 1 board over 0 days.