Endeavour Recruitment have a long-term contract opportunity for a Data Engineering Specialist to join a leading organisation based in Geneva.

Daily rates:

Onsite: 910 CHF

Nearshore: 580 CHF

Contract duration: ASAP to the end of December 2025 with strong possibility of 12-month extensions.

Required experience:

• 5 + years' experience
• Expert knowledge and experience developing and implementing ETL jobs for data warehouses using SQL and Python.
• Good knowledge of software development language and tools such as SQL, Python, Spark
• Good knowledge and experience with AWS or Azure Big Data tools: Glue, Athena, Redshift, Kinesis, Data bricks, azure analytics, Data Explorer.
• Good knowledge and experience with cloud-based storage and functions. (S3, Blob, Lambda, Azure Functions)
• Expert knowledge and experience of data engineering tools and methodologies (Datawarehouse, data lake, star schema).
• Good knowledge and experience with AWS Cloud Formation or Terraform.
• Knowledge of CI/CD concepts in general and AWS CodePipeline/CodeBuild/CodeDeploy in particular.
• Knowledge of provisioning of data APIs.
• Knowledge of information security concepts and terminology
• Excellent written and verbal communication skills that are compelling, convincing, and reassuring, with the ability to articulate complex technical ideas to non-technical stakeholders.
• Confident communicator and team player, with an advanced level of written and spoken English.
• Good organizational and interpersonal skills to influence others towards a shared vision and positive results with or without the line of command.
• Personal drive, ownership, and accountability to meet deadlines and achieve agreed-upon results.

Required skills:

• Proficient user of Git.
• Familiarity with Jira and Bitbucket.
• Experience in the implementation of, or demonstratable familiarity with the Gartner ODM framework would be an advantage

Tasks:

• The Data Engineering Specialist provides the required expertise to enhance and elaborate the different security metrics components as part of the IP Analytics Platform, using an interactive/agile approach.
• Work with the SIAD Information Security team to define and implement data quality assurance processes
• Identify the appropriate data visualization tool based on the existing capabilities within client
• Create and implement detailed visualization and presentation layers within the selected data visualization tool in line with defined requirements.
• Identify and document data structures for additional data sources.
• Ensure continuing data drift monitoring.
• Assist Information Security experts in the definition and extraction of relevant features for data analysis.
• Collaborate with business areas to improve the performance of central collation of big datasets.
• Add new information security raw data on which metrics and visualizations will be created.
• Develop broad and deep visualized drill down capability for detailed analysis
• Perform other related duties as required

Deliverables:

• Data products such as pipelines, jobs and transformations as required for new data sources.
• Use case diagrams, data, and process flow diagrams.
• User guides, analyses, and project documentation.
• Security Metrics presentation/visualization dashboards and granular drill-down capability for nontechnical business analysts, aligned with the Gartner Outcome Driven Metrics (ODM) framework
• Solution evolution as raw data sources change, and new technologies or approaches (such as AWS Security Lake)

Education and Certifications:

Required:

• Applicants must have a first level university degree information security, computer science, engineering, mathematics, business or related discipline.

Desirable:

• Additional certifications such as Certified Amazon Web
• Services (AWS) Solutions Architect, and AWS Certified
• Data Analytics Specialty are highly desirable.

Please apply, we look forward to receiving your CV!