Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Emergn

Senior Data Engineer

Emergn

. Lead the design and development of scalable data pipelines using Python and Apache Spark .

Posted 10/14/2026full-timeLatviaSenior💰 €4,750 - €5,000 per monthWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing scalable data pipelines using Python and Apache Spark, while architecting modern data platforms on Microsoft Azure and Microsoft Fabric. Proven ability to lead teams, ensure data governance, and drive continuous optimization in data engineering projects.

Highest-signal resume keywords
Python Data EngineeringApache Spark DevelopmentMicrosoft Azure SolutionsData Governance and ComplianceTechnical Leadership

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Pipeline DevelopmentData Processing LibrariesData FactoryAzure SynapseData LakeMicrosoft FabricPandasNumPyPolars
Soft Skills
Stakeholder ManagementCommunicationProactivityOwnership MindsetAdaptability
Tools & Technologies
Microsoft AzureApache SparkPythonData FactoryAzure SynapseData LakeMicrosoft Fabric
Industry Keywords
Data EngineeringData GovernanceCloud Data ArchitectureData SolutionsContinuous Optimization

Tech Stack

Tools & technologies
ApacheAzureCloudNumpyPandasPythonSpark

About the role

Key responsibilities & impact
  • Lead the design and development of scalable data pipelines using Python and Apache Spark
  • Architect and deliver modern data platforms on Microsoft Azure and Microsoft Fabric
  • Own end-to-end data engineering delivery, ensuring quality, performance, and reliability
  • Provide technical leadership, mentor teams, and drive engineering best practices
  • Collaborate with stakeholders to translate business needs into effective data solutions
  • Ensure data governance, security, and compliance across all platforms
  • Proactively identify improvements, risks, and opportunities, driving continuous optimisation

Requirements

What you’ll need
  • Extensive hands-on experience with Python and Apache Spark in data engineering environments
  • Strong experience building solutions on Microsoft Azure, including Data Factory, Synapse, and Data Lake
  • Practical experience with Microsoft Fabric and modern cloud data architectures
  • Experience with data processing libraries such as Pandas, NumPy, or Polars
  • Proven leadership skills with experience guiding and developing engineering teams
  • Highly adaptable, thriving in fast-paced, evolving environments
  • Strong proactivity and ownership mindset, driving initiatives independently
  • Excellent stakeholder management and communication skills

Benefits

Comp & perks
  • Work within a dynamic international team of experts
  • Excellent opportunity for personal and professional development
  • Flexible work model
  • Freedom to choose tools: Mac or Windows
  • Ability to work with modern technologies
  • Extensive catalogue of educational programs
  • Training and certification at the expense of the company
  • 20 working days of vacation per year
  • Life and disability insurance
  • Health insurance
  • Big free parking
  • Birthday gift