Location: Wiesbaden, DE
Work will be conducted primarily on-site in Wiesbaden, Germany. However, if the NIMSC Project Management team requires it, the contractor may be asked to work on-site at other NCIA locations within the designated Class II Security Area.
Duties & Role:
The contractor will deliver TWO resources (One Senior Data Engineer and One Senior Data Analyst) that will provide comprehensive project support services for the NSATU Data Fusion Cell team located at Wiesbaden, Germany under the direction / guidance of the NCIA The Hague Exploiting Data Science & AI team and NSATU Data Analytics Project Management Team. The resources will support the following activities:
1.Data engineering
• Designs and implements data pipelines and data stores to acquire and prepare data.
• Applies data engineering standards and tools to create and maintain data pipelines and extract, transform and load data.
• Carries out routine data quality checks and remediation Programming/software development
• Designs, codes, verifies, tests, documents, amends and refactors moderately complex programs/scripts.
• Applies agreed standards and tools to achieve a well-engineered result.
• Proposes practical solutions to resolve issues.
• Collaborates in reviews of work with others as appropriate.
Systems integration and build
• Defines the software modules needed for an integration build and produces a build definition for each generation of the software.
Data management
• Assesses the integrity of data from multiple sources.
• Provides advice on the transformation of data from one format/medium to another.
• Enables the availability, integrity and search ability of information through the application of formal data and metadata structures and protection measures.
Data modelling and design
• Applies standard data modelling and design techniques based upon a detailed understanding of requirements.
• Establishes, modifies and maintains data structures and associated components.
• Communicates the details of data structures and associated components to others using the data structures and associated components.
2. Data Analysis Activities:
Data analysis
• Designs, implements, and maintains complex data analytics solutions to acquire and
prepare data.
• Creates and maintains data pipelines to connect data within and between data stores, applications and organisations.
• Carries out complex data quality checking and remediation.
Data visualisation
• Applies a variety of visualisation techniques and designs the content and appearance of data visuals.
• Operationalises and automates activities for efficient and timely production of data visuals.
• Selects appropriate visualisation approaches from a range of applicable options.
• Contributes to exploration and experimentation in data visualisation.
Business intelligence
• Supports business intelligence needs of specific management or governance processes or operational areas.
• Investigates the need for business intelligence reporting and analysis where there is some complexity and ambiguity.
• Selects and applies non-standard business intelligence tools and techniques to provide insights and aid decision-making.
• Selects, acquires and integrates data for analysis.
• Identifies opportunities to digitise and streamline operational data handling and optimise business intelligence capabilities.
Data modelling and design
• Investigates enterprise data requirements where there is some complexity and ambiguity.
• Plans own data modelling and design activities, selecting appropriate techniques and the correct level of detail for meeting assigned objectives.
• Provides advice and guidance to others using the data structures and associated components.
Technical Leadership and Stakeholder Support:
• Provide technical leadership and guidance to support project teams and decision- making
• Support multidisciplinary teams and technical and operational stakeholders
• Participate in meetings with technical and operational experts, offering advice and seeking/applying solutions
• Liaise with Chief Technology Office (CTO), engineering, project management, and operational teams
Data Engineer Requirements
1. Security Clearance: The Contractor shall possess valid NATO-Secret Personal Security Clearances for the duration of the Contract performance
2. Language Proficiency: English: C1
3. Ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management in an on premise environment.
4. At least four years’ experience planning and maintaining data lakes, databases and pipeline processes, both batch-wise and (near) real-time;
5. Experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using data integration technologies on premise.
6. Experience in using of data engineering tools to support data science, data analytics and data visualisation (KNIME, SQL Server, Power BI is the preferred toolset)
7. Experience with state-of-the-art data engineering, analytics, data integration and pipeline tools/programming language (Python).
8. Solid understanding of data security best practices, including data encryption, access controls, authentication/authorization mechanisms, and compliance requirements.
9. Experience with monitoring and logging tools to ensure the reliability and performance of data pipelines.
10. Familiarity with containerization and orchestration tools such as Docker and Kubernetes is a plus
11. Knowledge of best practice of software development. E.g. CI/CD pipelines, unit/functional testing, following styling guides is a plus.
12. Familiarity with KNIME Analytics Platform and Server is preferred
Desired Qualifications:
13. Experience working within NCIA or similar defence-related environments
14. Knowledge of NATO Communication and Information Systems Infrastructure
15. Prior experience working in an international environment comprising both military and civilian elements.
Data Analyst Requirements
1. Security Clearance: The Contractor shall possess valid NATO-Secret Personal Security Clearances for the duration of the Contract performance
2. Language Proficiency: English: C1
3. A minimum requirement of a relevant degree at a nationally recognised/certified University in a related discipline and 4 years post-related experience. Or exceptionally, the lack of a university degree may be compensated by the demonstration of a candidate’s particular abilities or experience that is/are of interest to NCI Agency, that is, at least 6 years extensive and progressive expertise in duties related to the function of the post.
4. Demonstrable experience as a Data Analyst, Data Scientist, or similar role, or experience performing these functions roles as part of another job.
5. Demonstrable experience with at least one programming language or tools, such as KNIME and Python.
6. Experience with commercially available or open source data visualization tools, such as Power BI.
7. Experience with SQL and relational databases, such as SQL Server.
8. Experience in working with on premise environments.
Desired Qualifications:
9. Experience working within NCIA or similar defence-related environments
10. Knowledge of NATO Communication and Information Systems Infrastructure
11. Prior experience working in an international environment comprising both military and civilian elements.