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Senior Data Engineer at Xing

Berlin, Berlin, Germany -

Full Time

Start Date

Immediate

Expiry Date

15 Dec, 26

Salary

50000.0

Posted On

16 Sep, 26

Experience

7 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

Key ResponsibilitiesData Management:Design, implement, and manage high-performing data pipelines, focusing on scalability, efficiency, and stability.
Continuously optimize data processing performance through proactive issue identification, query tuning, and best practice implementation.
Automate routine tasks like ETL processes, data integration, and reporting to improve efficiency and minimize errors.
Troubleshoot and resolve data pipeline issues swiftly and effectively, ensuring minimal downtime.

Data Expertise:Collaborate with stakeholders to understand data needs and translate them into efficient data models and solutions.
Develop and execute data extraction, transformation, and loading (ETL) pipelines for various data sources and destinations.
Perform data analysis tasks using SQL and Python to identify trends, patterns, and insights.
Participate in data governance initiatives, ensuring data quality, consistency, and accessibility.
Stay current with the latest trends and technologies in data engineering and analysis.

Data Migrations:Lead or participate in complex data migrations from one platform to another.
Develop and execute well-defined migration plans with minimal downtime and data loss.
Utilize specialized tools and techniques for seamless data transfer and schema conversion.
Perform extensive testing and validation to ensure data integrity and functionality after migration.

Preferred Qualifications:5+ years of experience as a Data Engineer, with a proven track record of success in complex data environments.
Expertise in a major data processing framework like Apache Spark, Flink, or similar.
Strong understanding of data engineering principles and best practices.
Experience with data warehousing concepts and tools is a plus (e.g., Redshift, Snowflake).
Proficiency in SQL and Python for data manipulation and analysis is beneficial.
Experience leading or participating in successful data migrations is highly desirable.
Excellent problem-solving, analytical, and communication skills.
Ability to work independently and manage multiple priorities effectively.
Self-motivated and a continuous learner with a passion for data.

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Responsibilities