01
TRCI-26-04385
GCP Data Engineer (Migration SME)
Contract Data Engineer (5–8 years) in Germany to act as the GCP data engineering SME for a large-scale legacy-to-GCP migration. The role guides the migration team in re-platforming ETL/data warehouse workloads onto Google Cloud, designing and validating scalable pipelines using BigQuery, Dataproc (Spark/Hadoop), and Cloud Composer (Airflow). Requires strong Python and/or PySpark, SQL/data modeling, Airflow DAG design, and fluency in both German and English, with a focus on troubleshooting migration discrepancies and optimizing performance and cost.
Position summary
- Location
- Germany
- Workplace
- Hybrid
- Employment
- Contract
- Experience
- Minimum 5 years and Maximum 8 years
Role overview
Why This Role Matters.
Contract Data Engineer (5–8 years) in Germany to act as the GCP data engineering SME for a large-scale legacy-to-GCP migration. The role guides the migration team in re-platforming ETL/data warehouse workloads onto Google Cloud, designing and validating scalable pipelines using BigQuery, Dataproc (Spark/Hadoop), and Cloud Composer (Airflow). Requires strong Python and/or PySpark, SQL/data modeling, Airflow DAG design, and fluency in both German and English, with a focus on troubleshooting migration discrepancies and optimizing performance and cost.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Go-to expert on GCP data pipelines; helps the team design, build, and validate scalable data workflows using Big Query, Dataproc, and Cloud Composer.
03
Act as SME on GCP data engineering patterns — Dataproc (Spark/Hadoop) jobs, Cloud Composer (Airflow) DAGs, and BigQuery data models used in the target architecture
04
Design and build Dataproc pipelines to process and transform migrated data, ensuring parity with legacy business logic
05
Collaborate with data engineers and migration leads to troubleshoot discrepancies during testing and validation of migrated pipelines
06
Optimize BigQuery performance (partitioning, clustering, query design) and Dataproc cluster/job configuration for cost and efficiency
07
Strong Python and/or PySpark skills for building and maintaining data pipelines
08
Solid understanding of Airflow DAG design, scheduling, and dependency management
09
Experience with SQL and data modeling for analytical workloads
10
Familiarity with legacy ETL tools (Ab Initio) or on-prem data warehouses for migration context
11
Experience with CI/CD for data pipelines (Cloud Build, Terraform)
12
Exposure to job scheduling tools such as UC4, and relational databases (Oracle, SQL Server)
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
GCP
Required
02
Google Cloud Platform
Required
03
BigQuery
Required
04
Dataproc
Required
05
Spark
Required
06
Hadoop
Required
07
Cloud Composer
Required
08
Apache Airflow
Required
09
Airflow DAG
Required
10
Cloud Storage
Required
11
GCS
Required
12
Python
Required
13
PySpark
Required
14
SQL
Required
15
data modeling
Required
16
ETL
Required
17
data warehouse
Required
18
migration
Required
19
orchestration
Required
20
partitioning
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Fluency in German and English
Google Cloud Platform (GCP) data engineering
BigQuery
Dataproc (Spark/Hadoop)
Cloud Composer (Apache Airflow)
Cloud Storage (GCS)
Python and/or PySpark
Apache Airflow DAG design, scheduling, and dependency management
SQL
Data modeling for analytical workloads
Legacy-to-cloud migration support (guiding re-platforming, orchestration design, dependency mapping, parity validation)
Preferred
Nice to Have
Prior legacy-to-cloud data migration project experience
Familiarity with Ab Initio
Familiarity with on-prem data warehouses
CI/CD for data pipelines
Cloud Build
Terraform
UC4 (job scheduling)
Oracle
SQL Server
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for GCP Data Engineer (Migration SME)
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