[ref. b65222220] Reed Elsevier Ph. - Data Engineer (Python, SQL, AWS or Azure)

Job Summary:

The Data Engineer performs moderate research, design, and data engineering assignments within a specific engineering functional area or product line in RX Global.

The successful candidate will create data architectures, such as databases and large-scale processing systems that are used by our business to monitor, understand, and gain data science-led insights into our global events. The Data Engineer works as part of a highly motivated, collaborative, enthusiastic, distributed, cross-functional team, using a modern tech stack and agile & develops principles to create data architectures that are of high quality and can be deployed to and used in production with confidence - safely and reliably.

Responsibilities:

• Design and develop data pipelines and ETL jobs on AWS Cloud (or Azure) platform based on functional/non-functional business requirements
• Design & implement Data Integration/Ingestion/Extraction solutions based on high level architecture design
• Identify, design, and implement process improvements & delivery optimizations
• Collaborate with Stakeholders and Reporting/Data Analysts to assist and translate business requirements to technical solutions
• Develop data lake solutions leveraging new or existing technology to advance the company's business
• Design, upgrade and implement new data workflows, automation, tools and API integrations
• Write and maintain technical documentation
• Translate business logic into structured, testable, and well-documented datasets used across teams
• Collaborate with analysts, engineers, product managers, or other business stakeholders to align on requirements, definition of events and ownership.
• Locate opportunities to improve data and touchpoint analysis by leveraging consistent identifiers.
• Implement and maintain Mixpanel testing strategies amongst product teams to ensure data accuracy and trust in data.
• Participate in code reviews and ensure product teams are instrumenting events per best practice.
• Be part of a governance oversight committee that ensures product teams are feeding into global analytics platform as per analytics team standards.
• Peer review reports and dashboards created by product teams prior dissemination to the wider business.

Qualifications:

• Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required.
• Experience dealing with various stakeholders in a global perspective
• 2-4 years experience as a Data Engineer (or related positions) with focus on data processing and/or relational databases
• Familiar with consent management platforms such as OneTrust and Cookiebot and the implications they have on web tracking.
• Solid understanding of marketing technologies (Meta, Bing, Google Ads etc) and acquisition channels (Paid Search, Paid Social etc.)
• Deep understanding of digital analytics principles and experience implementing systems such as Mixpanel, Google Analytics and ContentSquare
• Experience in utilizing analytics tools such as Mixpanel and Google Analytics
• Experienced with relational databases like MS SQL Server
• Experienced in the following programming/scripting languages: SQL, Python.
• Experienced with AWS Cloud
• Experienced with working on Structured, Semi-Structured, Unstructured datasets
• Monitor, validate, and drive continuous improvement to methods, and propose enhancements to data sources that improve usability and results
• Proven time and project management skills, experience in Agile Methodology is desired
• Good communication and presentation skills
• Analytical, structured, organized, and proactive

Non-negotiable requirements:

1. MS SQL Server
2. SQL
3. Python
4. AWS Cloud or Azure
5. API Integration experience
6. Mixpanel and Google Analytics