Data Engineer, Keyrus
AI-driven toolkit for data analytics
Job no longer available
AI-driven toolkit for data analytics
1001+ employees
Job no longer available
1001+ employees
Company mission
Keyrus's mission is to "make data matter".
Role
Who you are
- Bachelor's degree in Computer Science, Information Systems, or a related field. Relevant certifications in Talend and Azure are a plus
- Proven experience as a Data Engineer, working with Talend and Azure technologies
- Strong knowledge of data integration concepts, ETL principles, and data modelling techniques
- At least one of the cloud providers (AWS, Azure and GCP) and should be certify
- Working experience using Data Pipeline (ELT or ETL) tools such as Talend, dBT, ADF and Azure Synapse Analytics
- Skilled in at least one language such as Java, Python, NodeJS
- Ideally, relevant practical project experience in Financial Services with proven leadership skills and ability to operate in complex environments/projects, managing multiple stakeholders at all levels of the organisation
What the job involves
- As a Data Engineer in Keyrus, you will play a crucial role in designing, developing, and maintaining data pipelines and ETL processes for our clients
- You will collaborate with cross-functional teams, including data scientists, analysts, and architects, to ensure efficient data integration, processing, and storage
- Data Integration: Design, develop, and maintain data integration workflows and pipelines using Talend and Azure Data Factory. Extract, transform, and load (ETL) data from various sources into target data repositories
- Data Transformation: Apply data cleansing, validation, and enrichment techniques to ensure high-quality and consistent data. Implement data transformation rules and logic to meet business rules and standards
- Data Warehousing: Design and build data warehousing solutions using Azure Synapse Analytics or Azure Data Warehouse. Develop efficient data partitioning and indexing strategies for optimal query performance
- Performance Optimization: Identify and resolve performance bottlenecks in data integration processes. Tune queries, optimize data workflows, and implement caching mechanisms to enhance overall system performance
- Collaboration and Documentation: Collaborate with cross-functional teams, including data analysts, data scientists, and business stakeholders, to understand data requirements and deliver optimal solutions. Document technical specifications, data mappings, and integration workflows
- Continuous Improvement: Stay up to date with industry trends and emerging technologies related to data engineering, Talend, and Azure. Recommend and implement process improvements and best practices to enhance data integration capabilities
Salary benchmarks
Our take
Data is an invaluable resource to modern businesses, empowering actionable insights that can significantly optimise business operations. However, the massive quantities of data that must be analysed to achieve such insights can be problematic to work with, requiring vast teams of data engineers and analytic infrastructure.
Keyrus provides a 'playbook' suite of AI-driven data analytics tools, helping businesses maximise their data’s value without the need for large-scale data engineering teams. The company's tools primarily focus on optimising user experiences across software and web products on any platform and offering data-driven tools for cloud-based technology, cybersecurity, and overall business digitisation, transformation, and innovation.
Whilst the company will face competition from startups producing specialised AI-driven tools for businesses, Keyrus shows excellent potential to compete due to its unified approach to applying AI to data analysis. Through this approach, the company aims to empower businesses to maximise the potential of their data with unfragmented white-label tools and consultancy, future-proofing their operations without the need for unaffordable data engineering hires.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
2% employee growth in 12 months
Company
Company benefits
- Access to our KLX platform with + 10.000 pieces of training
- Informal work environment where you get coached by experts and receive support to help you in your professional and personal growth
- Pension scheme
- Private medical insurance
- Annual bonus
- The chance to work with different technologies
- Be part of a company that wants to have an impact on the (digital) future
- An international, start-up mindset community of experts spread across 18 countries
Company HQ
Levallois-Perret, France
Leadership
Bruno Dehouck
(CEO of UK & Iberia)Experience as Manager of KPMG from 2002 to 2004. Associate for KERTIOS from 2004 to 2008.
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