Senior Data Engineer (Azure)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 242d ago
The date the source published, not the day we noticed it (2026-03-04). Last seen at its source 2h ago.
We have tracked this listing since 23 Oct 2026 (9 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Serbia, Romania
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $168.2k–214.2k/yr
Middle 50% of 40 listings that do state pay — Engineering · Senior · Eastern Europe · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 9d ago · last seen 2h ago
The listing
Accelerate your development and exposure to high‑performance data platforms and cloud infrastructure. Join Sedona Digital, a fast‑growing scale‑up with the ambition to be recognised as one of the leading technology companies in Romania.
Our global client base needs builders, engineers who enjoy designing and implementing scalable data platforms, have deep expertise in cloud data technologies, and take pride in delivering reliable, well‑governed solutions.
At Sedona, we:
- Obsess about our customers
- Build robust, scalable technical solutions
- Create an open, collaborative culture
- Invest in learning and long‑term careers
We are looking for a Senior Data Engineer with strong experience in Azure‑based data platforms, including data lake and data warehouse architectures, orchestration with Azure Data Factory, and analytics using Azure Synapse and Power BI. The ideal candidate is comfortable working independently, making sound technical decisions, and supporting clients as they modernise their data estates.
Responsibilities:
- Design, build, and maintain end‑to‑end data pipelines in Azure using Azure Data Factory, Azure Blob Storage / ADLS, and Azure Synapse Analytics.
- Implement and maintain Azure‑based data lakes, including raw, staged, and curated layers, following agreed standards and best practices.
- Design and optimise Azure Synapse Analytics environments, including table structures, distribution strategies, partitioning, and performance tuning.
- Develop ingestion patterns for data sourced from on‑premises SQL Server, Azure SQL Database, other relational databases, and Cosmos DB.
- Build secure and scalable orchestration workflows using Azure Data Factory for batch‑oriented data processing.
- Implement secure authentication and access control using Azure Active Directory, ensuring proper role‑based access and least‑privilege principles.
- Develop reusable, maintainable transformation logic aligned with agreed data modelling and semantic‑layer standards.
- Support analytical workloads through integration with Azure Analysis Services and downstream consumption in Power BI.
- Monitor, troubleshoot, and improve pipeline reliability, data quality, and platform performance.
- Collaborate with architects, analysts, and client stakeholders to translate business requirements into scalable Azure data solutions.
- Contribute to defining and enforcing data engineering standards, security practices, and governance patterns.
- Support clients during platform adoption, knowledge transfer, and handover.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
- 5+ years of experience in data engineering, ETL/ELT development, and data integration.
- Strong hands‑on experience with Microsoft Azure, including Azure Data Factory, Azure Blob Storage / ADLS, Azure Synapse Analytics, and Azure SQL.
- Solid understanding of data lake and data warehouse architectures.
- Experience designing and operating batch‑oriented data pipelines at scale.
- Strong SQL skills and experience with data modelling (facts, dimensions, semantic layers).
- Experience with Python or similar languages for data processing and automation.
- Familiarity with Azure Active Directory and secure authentication patterns.
- Ability to work independently, manage changing priorities, and make pragmatic technical decisions.
- Strong communication skills in English, with the ability to explain technical concepts clearly.
- A relevant Microsoft Azure certification is required, or the successful candidate will complete one within the probation period.
Preferred Skills (Nice to Have)
- Experience with Azure Analysis Services, Power BI semantic models, or enterprise BI architectures.
- Exposure to Synapse serverless SQL, lakehouse‑style patterns, or hybrid data platforms.
- Familiarity with Databricks or Snowflake and ability to compare architectural trade‑offs.
- Understanding of CI/CD practices for Azure data platforms.
- Experience working in regulated or security‑sensitive environments.
- Previous experience supporting discovery or early‑phase data platform design engagements.
Benefits
- Remote Work Flexibility
- Opportunity to work in a rapidly growing scale-up organisation
- Exposure to complex, global client engagements
- Training on market trends and client needs
- Ongoing learning and development opportunities
- Competitive compensation package
- Fun budget for team events