Berater Snowflake Data Engineer - AI & Data (w/m/d) at EY
At a glance
- Company
- EY
- Location
- Munich, DE, Germany
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this EY job
- 🏢 EY has 18 jobs here, 12 with visa sponsorship see all
- 📊 5 Data Engineer jobs in Germany in the last 60 days see them
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask EY if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Design, build and operate scalable Big Data pipelines and data platforms with a focus on Snowflake Cloud Data Warehouse.
- Modernize and migrate legacy on-premises ETL processes to cloud platforms (Azure/AWS) and cloud-native tooling.
- Develop performant data models, implement query and storage optimizations and perform performance tuning.
- Implement batch and real-time processing using technologies such as Kafka, NiFi, DBT, Matillion, Palantir or Informatica.
- Collaborate with clients and stakeholders to gather requirements, translate business needs and support technical delivery.
- Apply DevOps practices, containerization and data governance to ensure secure, reliable operations.
Requirements:
- Degree in Computer Science, Information Systems or equivalent and ~4–7 years in Big Data, data warehousing or ETL engineering.
- Hands-on experience with Snowflake and cloud data platforms (Azure and/or AWS).
- Strong SQL and data modeling skills; familiarity with SQL and NoSQL databases and distributed systems.
- Practical experience with Python, Java or Scala and with streaming/batch tools (Kafka, NiFi, DBT, Matillion, Informatica).
- Knowledge of data formats (Parquet, ORC, Avro), Apache Iceberg and containerization/DevOps practices.
- Very good German and English language skills (C1) and a collaborative, agile mindset.
Responsibilities
Develop and operate scalable Big Data pipelines in cloud environments with a focus on Snowflake. Modernize on-prem ETL processes and migrate them to cloud platforms, while designing performant data models and enabling batch and real-time data processing.
Requirements
Degree in Computer Science, IT or equivalent; 4–7 years of experience in Big Data, Data Warehousing or ETL; strong knowledge of Azure and/or AWS data platforms, SQL and NoSQL databases, Python/Java/Scala, and proficiency with tooling such as Kafka, NiFi, DBT, Matillion, Snowflake; German and English proficiency (C1).
Key skills
- Snowflake — in 41 other listings on The Stack
- Azure — in 143 other listings on The Stack
- AWS — in 802 other listings on The Stack
- Python — in 1200 other listings on The Stack
- Java — in 360 other listings on The Stack
- Scala — in 30 other listings on The Stack
- Kafka — in 173 other listings on The Stack
- NiFi — not in any other listing on The Stack
- DBT
- Matillion
- Palantir
- Informatica
On The Stack (as of 2026-11-05)
Frequently asked questions about EY
Is this Berater Snowflake Data Engineer - AI & Data (w/m/d) role still open?
It was posted on 2026-11-04 and is listed as active on The Stack. Confirm on EY's application page before applying.
Does EY offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on EY's site.
Where is this role located?
The listing gives the location as Munich, DE, Germany. It is marked on-site.
What skills does this role ask for?
The listing names: Snowflake, Azure, AWS, Python, Java, Scala, Kafka, NiFi, DBT, Matillion, Palantir, Informatica.