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Senior Big Data Engineer (Databricks) - RELOCATION TO ABU DHABI

JR United Kingdom

United Kingdom

On-site

GBP 50,000 - 90,000

Full time

12 days ago

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Job summary

Join a forward-thinking global digital solutions company as a Data Engineer, where you'll leverage cutting-edge cloud technologies to deliver impactful data solutions. This role offers the opportunity to work with a diverse range of clients, from large corporations to innovative startups. You'll be part of a team dedicated to continuous learning and improvement, tackling business and technology challenges head-on. With a focus on professional development, you will receive support for certifications and training resources. If you're passionate about data and eager to make a difference, this is the perfect opportunity for you!

Benefits

Professional certifications covered
Dedicated career plan
Training resources
Participation in industry events

Qualifications

  • 2+ years of experience in designing data models and building ETL pipelines.
  • Skilled in advanced SQL and relational database design.

Responsibilities

  • Design and build data models and ETL pipelines.
  • Engage in all project phases from design to implementation.

Skills

Python
PySpark
Databricks Lakehouse
ETL pipelines
Azure Data Factory
SQL
Data modeling
Stakeholder communication

Tools

Azure Synapse
Azure Data Lake
Azure DevOps

Job description

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Client:

SoftServe

Location:
Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

08.05.2025

Expiry Date:

22.06.2025

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Job Description:

Please note: this position requires relocation to Abu Dhabi for a minimum period of 12 months. Project duration: 36 months+. Softserve will support relocation of selected candidates.

WE ARE

SoftServe is a global digital solutions company headquartered in Austin, Texas, founded in 1993. Our associates work on over 2,000 projects with clients across North America, EMEA, APAC, and LATAM. We are a team of innovative people passionate about creating impactful solutions and enjoying our work.

We have a Data & Analytics Center of Excellence, focusing on data consulting and engineering. Since 2013, our team has grown to hundreds of Data Engineers and Architects delivering end-to-end data solutions across various industries such as Healthcare, Finance, Manufacturing, Retail, and Energy.

We hold top-tier partnerships with major cloud providers including AWS, GCP, and Microsoft, and collaborate with technology partners like Databricks, Snowflake, and Confluent.

IF YOU ARE

  • Experienced with Python/PySpark
  • Proficient with Databricks Lakehouse architecture and principles
  • Having 2+ years of experience in designing data models, building ETL pipelines, and data wrangling
  • Experienced with Azure cloud technologies such as Azure Data Factory, Azure Synapse, Azure Data Lake, and Azure DevOps
  • Skilled in advanced SQL and relational database design
  • Experienced in designing, building, and scaling streaming and batch data pipelines
  • Able to analyze options and conduct trade-off analysis
  • Good at communicating with stakeholders in written and verbal English (Upper-Intermediate level)

YOU WANT TO

  • Be part of a team of data-focused Engineers committed to continuous learning and improvement
  • Work with cutting-edge cloud technologies and services
  • Engage with diverse clients, from large corporations to startups
  • Participate in all project phases, from design to full-scale implementation

TOGETHER WE WILL

  • Address business and technology challenges through impactful projects
  • Support your growth with a dedicated career plan and training resources
  • Explore new technologies, build prototypes, and share knowledge
  • Encourage professional certifications, covered by the company
  • Work with top engineers and architects, and attend industry events

All qualified applicants will receive consideration without regard to race, color, religion, age, sex, national origin, disability, sexual orientation, gender identity/expression, or veteran status. SoftServe is an Equal Opportunity Employer.

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