Employment type in the employer’s posting: PermanentFrom the employer’s posting
Gather requirements from users and IT and build automated data pipelines
Build and support robust data pipelines that meet analytical deadlines
Check data quality across pipeline processing
Create reports and visualization dashboards for business monitoring
Help implement machine learning and AI tools
Work directly with users and IT to understand goals, gather requirements, and development of automate process data pipelines.
Build and support robust data pipelines to support analytical needs and meet deadline.
Have Data pipeline processing knowledge and ability to efficiently cross check the quality of data.
Create reports, visualization dashboards and help partners monitor business trends and key index.
Assist with implement Machine learning and AI tools
Proficiency in Python, SQL ,VBA or other programming languages.
Strong understanding of data warehousing principles, pipelines, and APIs.
Experience with data visualization tool such as Tableau or Power BI .
Strong problem-solving skills.
Attention to detail and Good presentation skills.
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Day 32
Similar jobs usually come down between day 6 and day 56.
Well past Allianz Insurance’s usual: its jobs come down by about day 3.
From 13,630 similar postings that came down, and 421 of Allianz Insurance’s. Coming down is not always a hire.
65 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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<Characteristics of the job> 1. Proficiency in Python, SQL ,VBA or other programming languages. 2. Strong understanding of data warehousing principles, pipelines, and APIs.
2. Strong understanding of data warehousing principles, pipelines, and APIs. 3. Experience with data visualization tool such as Tableau or Power BI . 4. Strong problem-solving skills.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
<Job Description>
1. Work directly with users and IT to understand goals, gather requirements, and development of automate process data pipelines.
2. Build and support robust data pipelines to support analytical needs and meet deadline.
3. Have Data pipeline processing knowledge and ability to efficiently cross check the quality of data.
4. Create reports, visualization dashboards and help partners monitor business trends and key index.
5. Monitor key index and business processes to identify the difference 6. Assist with implement Machine learning and AI tools
<Characteristics of the job>
1. Proficiency in Python, SQL ,VBA or other programming languages.
2. Strong understanding of data warehousing principles, pipelines, and APIs.
3. Experience with data visualization tool such as Tableau or Power BI .
4. Strong problem-solving skills.
5. Attention to detail and Good presentation skills.
6. Knowledge and experience with application of statistical techniques (regression, various statistical tests, etc.) and a variety of machine learning techniques (clustering, GBDT, neural network, PCA, etc.) will be a plus.
7. Knowledge and experience with Cloud solution and Large Language model will be a plus.
8. Effectively incorporate generative AI tool (e.g. ChatGPT) into daily work processes to enhance productivity and efficiency
107697 | Data & AI | Professional | Non-Executive | Allianz Taiwan | Full-Time | Permanent
Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.Join us. Let's care for tomorrow.
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Taiwan
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