Senior Data Engineer
Content + Source + Freshness • 16 Dec 2025 • 95% confidence
Offer value
High value due to the demand for data engineering skills and cloud expertise, alongside significant responsibilities.
- High demand for skilled data engineers with cloud expertise.
- Work involves significant influence on data strategies.
- Flexibility to work remotely while engaging in innovative solutions.
- High expectations in data-technical execution and management.
Pros
- Significant demand for data engineering skills in the market.
- Work with cutting-edge Big Data technologies and cloud solutions.
- Opportunity to creatively solve problems and collaborate cross-functionally.
Cons
- High expectations for handling complex data projects may induce stress.
- Requires comprehensive knowledge of a wide range of data tools and methods.
- Potential for long hours during data pipeline deployment.
Who it's for
Senior • Remote
Good fit
- Senior data engineers proficient in SQL and cloud technologies.
- Candidates looking to influence data-focused projects and strategies.
- Professionals eager for remote work with a technical focus on data.
Not recommended for
- New graduates or entry-level candidates without relevant data experience.
- Individuals without interest in hands-on technical roles.
- Professionals not looking to adapt to evolving data technologies.
Motivation fit
Key skills
About the job
• Work with large-scale data (Cloud and Big Data) as a business enabler, with the ability to collect and prepare data for analysis and downstream use, ensuring data integrity and quality (data quality).
• Data architecture (entity modeling, typing, data classification, etc.).
• Design and maintain batch and streaming data pipelines;
• DataOps;
• Evolve data models and schemas to meet new engineering and business requirements;
• Ingest data from various sources into the data lakehouse;
• Catalog objects to comply with data governance practices;
• Democratize data for data analytics work;
Requirements
- Familiarity with data analytics products on Azure cloud;
- Experience with Databricks;
- Hands-on experience with large-scale workloads (Big Data);
- Experience with orchestration, storage, data warehouse, and data pipeline tools.
- Advanced SQL experience;
- Intermediate Python experience;
- Experience using APIs;
- Experience with code versioning using Git;
- Ability to work with different databases/data types: relational and NoSQL, structured and unstructured;
- Enjoy solving problems;
- Ability to work in horizontal, cross-functional teams;
🔍 ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.
Hard Skills
- data architecture
- data modeling
- data classification
- data quality
- batch data pipelines
- streaming data pipelines
- DataOps
- SQL
- Python
- APIs
Soft Skills
- problem solving
- collaboration
- cross-functional teamwork
