Data Engineer

Job Description

A Day in the Life:

The Data Engineer will report to the Senior Director of Data Science &Analytics and is responsible for building and maintaining data pipelines and workflows that support ML, advanced analytics, and software products.
This individual will work closely with data scientists, data engineers, analysts, software developers and SME’s within the business to deliver new and exciting products and services. The main objectives are to develop data pipelines and fully automated workflows to drive operational efficiency and effectiveness by enabling data-driven decisions across the organization. This includes fostering collaboration, building partnerships, codeveloping products, sharing knowledge, providing insights and valuable predictive information to business teams and leaders to highlight potential risks and opportunities that initiate the drive for change. Building, maintaining, optimizing, and automating data pipelines in both cloud and on-premises infrastructure.

What You’ll Do:

- Data acquisition, data ingestion, data cleansing, data transformation, and data migration.
- Design, implement, and test data integrations and ETL processes and provide detailed documentation.
- Improving data integrity and quality and implementing modern solutions and frameworks to streamline existing processes.
- Identify trends in datasets and develop workflows and algorithms to take advantage of raw data flows.
- Identify opportunities for data acquisition from internal and external sources.
- Curate rich datasets and prepare data for predictive and prescriptive modeling.
- Strive to engineer excellence by simplifying, optimizing, and automating processes and workflows.
- Ensures data and reports are thoroughly tested before release to production environments.

What We’re Looking For:

- A bachelor's degree or higher in Computer Science, Information Systems, Information Technology or related field.
- Minimum of 3 years hands-on experience in a data engineering role.
- Minimum 2 years of intensive experience with cloud-based Big Data, BI, and Analytics technologies, preferably AWS.
- Strong expertise with Big Data tools such as Databricks/Spark/PySpark and serverless architectures.
- AI and Agentic AI solutions, Relevant recent experience,
- Experience with event driven architectures and data streaming pub/sub technologies such as Kafka and Kinesis.
- Strong capabilities in scripting languages such as Python etc.
- Experience with Data Visualization tools such as Tableau.
- Strong interpersonal and communication skills with Agile/Scrum experience.
- Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions.
- Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels.

What You’ll Get:

- Hybrid/flexible working arrangements
- Work from Abroad: Up to 20 days annually
- 22 days holidays on hire rising to 27 days with service
- Birthday Leave: 1 day off per year
- Paid Maternity, Adoption & Paternity Leave
- Occupational Pension Scheme – non-contributory auto enrolment on commencement. When you contribute 3-5%, Hertz will match and add 2%
- Life Cover payable at 4 times base salary
- Income protection for long term illness
- Employee car rental discount in corporate locations which can also be extended to friends & family
- Access to compressive online learning platforms
- Tuition support through Staff Development Programme
- 10 days paid study leave & paid exam leave where exams fall during work hours
- Professional membership fees paid annually where membership relates directly to role
- Bike to Work & Travel Pass schemes.
- Employee Assistance Programme: Counselling, coaching, advisory services 24/7 365 days per year for employee and family
- Occupational Health support
- Christmas savings scheme
- Perks at Work: Lifestyle discounts