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TRCI-26-06318
Data Engineer
This is a contract Data Engineer role in Stockholm, delivering end-to-end data solutions and data products with Azure technologies in collaboration with cross-functional teams. The core requirements are Azure Databricks and Unity Catalog, advanced Python and SQL, IDMC Cloud Data Integration, Git and CI/CD, and Azure cloud data architecture. Experience working with data products is also specified; banking or financial-services experience is preferred rather than stated as mandatory. The structured input gives a 5–7-year experience band, while the description says 5+ years of hands-on experience. The work mode is not specified, and familiarity with Pandas, NumPy, and PySpark is noted as useful.
Position summary
- Location
- Sweden
- Workplace
- Hybrid
- Employment
- Contract
- Experience
- Minimum 5 years and Maximum 7 years
Role overview
Why This Role Matters.
This is a contract Data Engineer role in Stockholm, delivering end-to-end data solutions and data products with Azure technologies in collaboration with cross-functional teams. The core requirements are Azure Databricks and Unity Catalog, advanced Python and SQL, IDMC Cloud Data Integration, Git and CI/CD, and Azure cloud data architecture. Experience working with data products is also specified; banking or financial-services experience is preferred rather than stated as mandatory. The structured input gives a 5–7-year experience band, while the description says 5+ years of hands-on experience. The work mode is not specified, and familiarity with Pandas, NumPy, and PySpark is noted as useful.
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
Very good communication and presentation skills with proven ability to collaborate with cross-functional teams
03
Ability to collaborate and work effectively in teams
04
Critical thinking and ability to identify core problems
05
Independence and ability to work with little supervision
06
Flexibility and adaptability to new situations
07
Expertise in Azure Databricks: Extensive experience with Azure Databricks for data engineering, data science, and analytics solutions.
08
Unity Catalog: Proficiency in using Unity Catalog for comprehensive data governance, access control, and lineage tracking across multiple environments.
09
Advanced proficiency in Python for data engineering tasks, including designing and implementing ETL/ELT pipelines and developing reusable, modular code for efficient data transformations.
10
Familiarity with Python libraries like Pandas, NumPy, PySpark,
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Strong SQL skills to design complex queries and optimize database performance.
12
Experience working with Azure databases like Azure SQL Database, Synapse Analytics, and Data Lake for querying, processing, and managing large datasets.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Azure Databricks
Required
02
Databricks
Required
03
Unity Catalog
Required
04
Python
Required
05
SQL
Required
06
ETL
Required
07
ELT
Required
08
IDMC
Required
09
Informatica Intelligent Data Management Cloud
Required
10
Cloud Data Integration
Required
11
CDI
Required
12
Azure Data Lake
Required
13
ADLS
Required
14
Azure Blob Storage
Required
15
Azure SQL Database
Required
16
Azure Synapse Analytics
Required
17
Git
Required
18
Azure DevOps
Required
19
GitHub Actions
Required
20
CI/CD
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
Azure Databricks for data engineering and large-scale processing
Unity Catalog for governance, access control, and lineage
Advanced Python for modular ETL/ELT pipelines and transformations
Strong SQL, including complex queries and performance optimization
IDMC Cloud Data Integration, including mappings, tasks, parameterization, and runtime environments
Git-based version control and CI/CD pipeline implementation
Azure cloud data architecture, including Azure Data Lake or Blob Storage and Azure data services
Experience working with data products
Preferred
Nice to Have
Banking or financial-services background
Familiarity with Pandas and NumPy
Familiarity with PySpark
Experience with Azure Synapse Analytics and Azure SQL Database
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 Data Engineer
One page, about two minutes. We only ask for what we actually need to have a first conversation.