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TRCI-26-06849
Data Engineer – AWS / Databricks
This contract Data Engineer role focuses on developing and maintaining Databricks Lakehouse pipelines using a Medallion Architecture, while centralizing and integrating data across internal systems. The core requirements are 2–3 years of Data Engineering experience, hands-on Databricks and AWS skills, SQL and foundational data modeling knowledge, and the ability to test and troubleshoot pipelines independently. Experience with Amazon Connect, Contact Lens, or Bedrock is highly desirable, but is not stated as mandatory. The role is located in Poland; the description does not specify a work arrangement such as remote, hybrid, or onsite. The team context is data integration and pipeline development, with no specific industry or product domain identified.
Position summary
- Location
- Poland
- Workplace
- Remote
- Employment
- Contract
- Experience
- Minimum 2 years and Maximum 3 years
Role overview
Why This Role Matters.
This contract Data Engineer role focuses on developing and maintaining Databricks Lakehouse pipelines using a Medallion Architecture, while centralizing and integrating data across internal systems. The core requirements are 2–3 years of Data Engineering experience, hands-on Databricks and AWS skills, SQL and foundational data modeling knowledge, and the ability to test and troubleshoot pipelines independently. Experience with Amazon Connect, Contact Lens, or Bedrock is highly desirable, but is not stated as mandatory. The role is located in Poland; the description does not specify a work arrangement such as remote, hybrid, or onsite. The team context is data integration and pipeline development, with no specific industry or product domain identified.
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
Support data centralization and integration across internal systems.
03
Work with AWS services, including S3, Amazon Connect, Contact Lens, and Bedrock.
04
Understand and work with ERDs and fundamental data modeling concepts, including data grain and join cardinality.
05
Perform unit testing and validate own development before deployment.
06
2–3 years of experience in Data Engineering.
07
Hands-on experience with Databricks and AWS.
08
Experience with Amazon Connect, Contact Lens, or Bedrock is highly desirable.
09
Good understanding of data modeling, ERDs, and SQL.
10
Ability to independently perform unit testing and troubleshoot data pipelines.
11
Strong analytical and problem-solving skills.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Databricks
Required
02
Databricks Lakehouse
Required
03
Medallion Architecture
Required
04
Bronze Silver Gold
Required
05
AWS
Required
06
Amazon Web Services
Required
07
Amazon S3
Required
08
S3
Required
09
Amazon Connect
Required
10
Contact Lens
Required
11
Amazon Bedrock
Required
12
SQL
Required
13
data modeling
Required
14
ERD
Required
15
data grain
Required
16
join cardinality
Required
17
data pipelines
Required
18
unit testing
Required
19
data integration
Required
20
data centralization
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
Data Engineering experience (2–3 years)
Hands-on Databricks
Hands-on AWS
Databricks Lakehouse and Medallion Architecture
SQL and data modeling, including ERDs, data grain, and join cardinality
Unit testing and validation of data pipeline development
Data pipeline troubleshooting
Preferred
Nice to Have
Amazon Connect
Amazon Contact Lens
Amazon Bedrock
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 – AWS / Databricks
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