Senior Data Engineer

ZipRecruiter; Manchester; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

Join a forward-thinking technology company as an AWS Senior Data Engineer, where you will develop and maintain end-to-end data pipelines using cutting-edge technologies. This role involves tackling complex data challenges in a dynamic environment, leveraging tools like Apache Spark and AWS services. You'll collaborate with a talented team, ensuring high-quality coding practices while contributing to innovative solutions that drive insights into consumer behavior. If you're passionate about data engineering and eager to learn, this opportunity is perfect for you!

Benefits

25 days paid holiday plus bank holidays

Purchase/sale of up to 5 leave days pa after 2 years’ service

Life insurance

Workplace pension with employer contribution

Performance-based bonus scheme

Informal dress code

Cycle to work scheme

Branded company merchandise

Qualifications

• Experience with AWS CloudFormation or Terraform for infrastructure automation.
• Knowledge of big data processing systems and streaming data principles.

Responsibilities

• Develop and maintain end-to-end data pipelines and infrastructure automation.
• Support production systems and provide feedback on colleagues' work.

Skills

Problem Solving

AWS or equivalent cloud technologies

Serverless technologies

Infrastructure automation (AWS CloudFormation or Terraform)

Scala, Java, or C#

SQL or Python development

High-quality coding and testing practices

Agile software development practices

Interpersonal skills

Debugging and failure management

Tools

Apache Spark

Apache Trino

Git

Jenkins

Job description

Job Description

Job Title: AWS Senior Data Engineer

Location: Manchester (Trafford) – 2 days a week

Salary: £60,000 - £80,000 DOE

The client is a technology provider to the market research industry. They use cutting edge technology to help our clients gain a deeper insight into the digital lives of consumers.

We are looking for a Data Engineer to join the team and play a crucial role in the Data Engineering Team, ensuring the main function is developing, maintaining and improving the end-to-end data pipeline.

The Role

You will be working in the Data Engineering team whose main function is developing, maintaining and improving the end-to-end data pipeline that includes real-time data processing; extract, transform, load jobs; artificial intelligence; and data analytics on a complex and large dataset.

Your role will primarily be to perform DevOps, backend and cloud development on the data infrastructure to develop innovative solutions to effectively scale and maintain the data platform. You will be working on complex data problems in a challenging and fun environment, using some of the latest Big Data open-source technologies like Apache Spark, as well as Amazon Web Service technologies including Elastic MapReduce, Athena and Lambda to develop scalable data solutions.

Key Responsibilities:

• Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety.
• Writing application code and tests that conform to standards.
• Developing infrastructure automation and scheduling scripts for reliable data processing.
• Continually evaluating and contributing towards using cutting-edge tools and technologies to improve the design, architecture and performance of the data platform.
• Supporting the production systems running the deployed data software.
• Regularly reviewing colleagues’ work and providing helpful feedback.
• Working with stakeholders to fully understand requirements.
• Be the subject matter expert for the data platform and supporting processes and be able to present to others to knowledge share.

Here’s what we’re looking for:

• The ability to problem solve.
• Knowledge of AWS or equivalent cloud technologies.
• Knowledge of Serverless technologies, frameworks and best practices.
• Experience using AWS CloudFormation or Terraform for infrastructure automation.
• Knowledge of Scala or OO such as Java or C#.
• SQL or Python development experience.
• High-quality coding and testing practices.
• Willingness to learn new technologies and methodologies.
• Knowledge of agile software development practices including continuous integration, automated testing and working with software engineering requirements and specifications.
• Good interpersonal skills, positive attitude, willing to help other members of the team.
• Experience debugging and dealing with failures on business-critical systems.

Preferred Qualifications:

• Exposure to Apache Spark, Apache Trino, or another big data processing system.
• Knowledge of streaming data principles and best practices.
• Understanding of database technologies and standards.
• Experience working on large and complex datasets.
• Exposure to Data Engineering practices used in Machine Learning training and inference.
• Experience using Git, Jenkins and other CI/CD tools.

Benefits

Work in a market-leading technology company that helps research and marketing professionals achieve unique insights into the mobile and digital lives of consumers.

The client does everything they can to support our people so that they can be themselves and realize their potential. We love people who are hungry for learning and achievement!

• 25 days paid holiday plus bank holidays
• Purchase/sale of up to 5 leave days pa – after 2 years’ service
• Life insurance
• Workplace pension with employer contribution
• Performance-based bonus scheme
• Informal dress code
• Cycle to work scheme
• Branded company merchandise