Data Engineer

Company Description

Experian is the world’s leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses, and society. We are thrilled to share that **FORTUNE has named Experian one of the 100 Best Companies to work for**. In addition, for the last five years, we’ve been named in the **100 “World’s Most Innovative Companies” by Forbes Magazine**.

**Job Description**:
This role is responsible for supporting and leading data loading, manipulation and reporting, quality assurance, documentation and internal/client communication projects.

**Key Responsibilities/Activities**

**DATA ENGINEERING & ANALYSIS**
- Carry out and when required, supervise others carrying out, the extraction, formulation and manipulation of data to create the structured samples necessary to address business requirement.
- Interpret and, where appropriate, supervise others in the interpretation of data specifications.
- Experiments with alternative solutions to discover improvement opportunities.
- Take responsibility for the production of high-quality results documentation.
- Identify and resolve data problems, producing appropriate analysis to verify results.
- Challenge existing processes and recommend improvements.
- Ensure the quality of all data sent to clients/customers.

**PROJECT & TIME MANAGEMENT** - Plan, organise and complete own workload to meet project commitments within agreed schedules.
- Produces data specifications.
- Plan, organize and complete own workload and supervise, where appropriate, the workload of any junior data engineer on the project, to meet project commitments within agreed schedules.
- Is able to manage multiple tasks simultaneously without compromising the quality of the final deliverables.
- Proactively identify potential risks in achieving project timescales, taking pro-active action to minimize risk.
- Recognize when issues or problems need to be escalated.

**MANAGING CLIENT & INTERNAL RELATIONSHIP - **Support the project team by understanding the client’s requirements.
- Communicate with client and/or other departments/divisions within Experian to help ensure accurate and timely implementation of project work, and to enable them to manage client expectations.
- Ensure that all written and verbal communication is clear and professional.
- Build and maintain positive day to day client/customer relationships at peer level.
- Take responsibility for the resolution of client/customer problems or issues.
- Coordinate data receipt and delivery with internal and external clients.

**TEAMWORK & KNOWLEDGE SHARING**
- Demonstrate ability to lead assigned departmental strategic initiatives.
- Priorities own, and where appropriate others workload and communicate this effectively to the Supervisor or Resources Manager to provide input into resource plans.
- Mentor junior Data Engineers in the use of software and data coding and analysis methodologies, providing explanations of business requirement specifications to facilitate understanding of the clients/customers’ objectives.

**PERSONAL DEVELOPMENT - **Improve personal and professional competencies and technical/analytical skills through continual learning.
- Seek extensive feedback to improve skills, knowledge and competencies as part of the feedback process.
- Maintain awareness of latest technical and market developments in the area of data engineering.
- Actively seek to further improve coding skills.

**Qualifications**:
Knowledge
- Degree level or equivalent knowledge with a high information technology content.
- Preferably 3+ years of experience in the data engineering field.

**Skills**:

- Advanced programming skills (preferably in Python).
- Proficient in SQL, with experience in database design, administration and query optimization.
- Working experience in a cloud environment (preferably AWS).
- Familiarity with cloud services used for data loading and transformation of large amounts of data (S3, Lambda and similar services).
- Server administration (Linux & Windows).
- Experience with ETL/ELT software.
- Experience with a data visualization software (such as Tableau) and monitoring platforms (such as Dynatrace or Splunk).
- Focus on automation.
- Ability to identify and correct data problems.
- Strong communication skills, including proficiency in writing reports and presenting technical work.
- Strong collaboration and teamwork.

Additional Information
- Experian is proud to be an Equal Opportunity and Affirmative Action employer. Our goal is to create a thriving, inclusive and diverse team where people love their work and love working together. We believe that diversity, equity and inclusion is essential to our purpose of creating a better tomorrow. We value the uniqueness of every individual and want you to bring your whole, authentic self to work. For us, this is _**_The Power of YOU_**_ _and it ensures that we live what we believe._ll your information will be ke