About
Randstad is partnering with a retail company that is looking to hire a contract remote Data Engineer. This role is accountable for designing, creating and maintaining data pipelines for functions across the Corporate Risk and Compliance functions and will work with the Enterprise Data & Analytics team to set up and maintain standards and best practices. The ideal candidate will have 5+ years of data engineering experience, with 3+ years of hands on experience using Snowflake and Alteryx. Responsibilities: Accountable for designing, developing, testing, cataloguing, and maintaining Data Software and Data Pipeline solutions for the Corporate Risk and Compliance functions Analyses raw data / data sets in various data technology environments Combine raw information from different sources and technologies Identify opportunities for data acquisition Work collaboratively with IT teams and peer engineers to ensure data duplication is minimized and solutions are aligned to the overall strategic IT roadmap Accountable for delivering clean, secure, performant code /technology components that meet all the non-functional requirements Participate in Design Reviews, peer code reviews and Impact Assessment Sessions to identify appropriate solutions Creates test data, relevant supporting documentation and supports deployment, for small to medium complex solutions Comfortable working within an agile framework to ensure solutions are delivered efficiently - identify opportunities to improve the development process Supports discussions on design approaches to solving business problems Maintains broad knowledge in the Data sources and Analytics applications/self-service areas which support the Corporate Risk and Compliance function Works with the COE to enhance guidelines, standards and methodologies - partner with peers to ensure consistency Actively participate in the appropriate communities of practice Accountable for diagnosing and fixing any defects and performance problems discovered in testing or post production (liaising with IT where appropriate) Accountable to monitor the ongoing health (such as error rates, performance, usage) of solutions delivered and proactively address issues that are identified Qualifications: Excellent working experience with Excel, Power BI, Snowflake, & Alteryx. Experience in data bricks and Azure Data Lake Services 5-10 years as a data engineer (or technical data or analytics role), specifically in the technical design, development and implementation or support of business systems Bachelor's degree Expert knowledge of and experience with a Data Engineering toolset, SQL, Data Modelling, multiple file formats (JSON, XML, etc), data security and data profiling. Some experience with cloud data storage technologies, analytics tools, end-to-end data architecture patterns and data governance concepts.
Languages
- English
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