Pune, Maharashtra, India
Actively hiring, first seen by us 9 days agoEmployment type in the employer’s posting: PermanentFrom the employer’s posting
Design, build, test and document scalable ETL/ELT data pipelines
Engineer reusable, production-ready pipelines and feature datasets for ML models
Implement data security measures that meet privacy regulations
Peer review colleagues' work to keep solutions robust
Work with stakeholders and analysts to understand their data requirements
Developing, implementing, testing and documenting scalable ETL/ELT data pipelines and workflows
Engineering reusable, production-ready data pipelines and feature datasets that support machine learning model training, scoring, monitoring and integration into business applications
Implementing data security measures to ensure compliance with data privacy regulations
Peer reviewing work of colleagues to ensure delivery of robust solutions
Collaborating with stakeholders and analysts to understand their data requirements
Bachelor’s or Master’s degree, ideally in Computer Science, Information Systems or a related field
107455 | Data & AI | Professional | Non-Executive | Allianz Services | Full-Time | Permanent
Strong SQL and Python (or equivalent language) skills for data manipulation and automation.
Familiarity with Synapse Workflows and other orchestration tools.
Knowledge of data modelling methodologies (star schemas, Data Vault).
Familiarity with medallion architectures, data lakehouse principles and distributed data processing.
Experience & Skills: - Bachelor’s or Master’s degree, ideally in Computer Science, Information Systems or a related field - Proven work experience as an Analytics Engineer or Data Engineer with either Azure Synapse or Databricks (Spark/PySpark, Delta Lake, Unity Catalog etc).
Actively hiringFirst seen by us 9 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 9
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.
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- Proven work experience as an Analytics Engineer or Data Engineer with either Azure Synapse or Databricks (Spark/PySpark, Delta Lake, Unity Catalog etc). - Strong SQL and Python (or equivalent language) skills for data manipulation and automation. - Familiarity with Synapse Workflows and other orchestration tools.
130 years of trust, time to shape what's next. Allianz Group is one of the world's leading insurers and asset managers - built on over a century of stability, expertise, and financial strength. Allianz Services is where that legacy meets the future. 8,200+ people. Eight countries. Three continents. We deliver specialized services to clients within Allianz Group, powered by AI, advanced analytics, and a mindset that refuses to stand still. From core insurance operations to engineering and consulting services, we reimagine how insurance works. What truly sets us apart are our people and the trusted partnerships we build, anchored in our values of expertise, integrity, and empowerment. We don't support the business. We shape it. We are seeking a talented and experienced Analytics Engineer with Azure Synapse capability to join our dynamic team at Allianz. In this role, you will play a crucial part in designing, developing and maintaining scalable data and analytics infrastructure, while also engineering robust pipelines that support machine learning models, analytics products and business applications. You will collaborate with cross-functional teams to ensure the efficient collection, transformation, storage and retrieval of data, enabling trusted insight, operational decision-making and production-ready model delivery. As a trusted expert, you will design and implement reliable ETL/ELT workflows, integrate both real-time and batch data sources, and create secure, well-governed data pipelines, models and products. You will bring the same foundations as a strong data engineer, with additional experience in building and operationalising data pipelines for machine learning models and applications, ensuring they are reliable, reusable, well-tested and ready for downstream consumption.
- Bachelor’s or Master’s degree, ideally in Computer Science, Information Systems or a related field - Proven work experience as an Analytics Engineer or Data Engineer with either Azure Synapse or Databricks (Spark/PySpark, Delta Lake, Unity Catalog etc). - Strong SQL and Python (or equivalent language) skills for data manipulation and automation.
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Yes. We’ve followed one other Consultant-Business Analytics job there since June 2026. It came down after 0 days.
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.
Analytics Engineer
130 years of trust, time to shape what's next. Allianz Group is one of the world's leading insurers and asset managers - built on over a century of stability, expertise, and financial strength. Allianz Services is where that legacy meets the future. 8,200+ people. Eight countries. Three continents. We deliver specialized services to clients within Allianz Group, powered by AI, advanced analytics, and a mindset that refuses to stand still. From core insurance operations to engineering and consulting services, we reimagine how insurance works. What truly sets us apart are our people and the trusted partnerships we build, anchored in our values of expertise, integrity, and empowerment. We don't support the business. We shape it.
We are seeking a talented and experienced Analytics Engineer with Azure Synapse capability to join our dynamic team at Allianz. In this role, you will play a crucial part in designing, developing and maintaining scalable data and analytics infrastructure, while also engineering robust pipelines that support machine learning models, analytics products and business applications. You will collaborate with cross-functional teams to ensure the efficient collection, transformation, storage and retrieval of data, enabling trusted insight, operational decision-making and production-ready model delivery.
As a trusted expert, you will design and implement reliable ETL/ELT workflows, integrate both real-time and batch data sources, and create secure, well-governed data pipelines, models and products. You will bring the same foundations as a strong data engineer, with additional experience in building and operationalising data pipelines for machine learning models and applications, ensuring they are reliable, reusable, well-tested and ready for downstream consumption.
The key responsibilities of the role include:
About You
Experience & Skills:
107455 | Data & AI | Professional | Non-Executive | Allianz Services | 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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Pune, Maharashtra, India
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