Data Engineer

Bottomline; Reading; Hybrid; USD 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a Data Engineer to join their innovative team. This role offers the chance to work collaboratively with both business and technical users to define, develop, and test data pipelines, ensuring seamless data integration and accessibility. With a focus on leveraging tools such as Talend, AWS S3, Python, and Snowflake, you will be instrumental in creating efficient data flows and maintaining data integrity. The company values growth and innovation, providing a flexible working environment and opportunities for professional advancement. Join a forward-thinking organization that is committed to inclusivity and supporting talent at all career stages.

Benefits

Competitive salary and benefits package

Opportunities for professional growth

Collaborative work environment

Flexible working arrangements

Qualifications

• 4+ years of experience in data engineering and data integration.
• Proficiency in Talend, AWS S3, Python, and Snowflake is essential.

Responsibilities

• Design and maintain data pipelines and warehouse schemas.
• Collaborate with stakeholders to gather and analyze data requirements.

Skills

Data Engineering

Data Integration

Problem-Solving

Communication Skills

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Information Technology

Bachelor’s degree in Data Engineering

Tools

Talend

AWS S3

Python

Java

PowerBI

Snowflake

Job description

Why Choose Bottomline?

Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team!

The Role

Bottomline is looking for a Data Engineer to grow with us either remotely or in a Hybrid work environment out of our Theale, UK office!

As a Data Engineer, you will work collaboratively with both business and technical users to define, develop, and test data pipelines, data warehouse schemas, tables, views, and external tables. You will ideally leverage tools such as Talend, AWS S3, Python, Java, PowerBI, and Snowflake to ensure seamless data integration and accessibility.

How you’ll contribute:

1. Collaborate with stakeholders to gather and analyze data requirements for reporting and analytics.
2. Design, develop, and maintain data pipelines using Talend to ensure efficient data flow from various sources.
3. Create and manage data warehouse schemas, tables, views, and external tables in Snowflake.
4. Utilize AWS S3 for data storage solutions and ensure data integrity and security.
5. Write and optimize Java and/or Python scripts for data transformation and processing tasks.
6. Conduct thorough testing and validation of data pipelines and warehouse structures to ensure accuracy and performance.
7. Monitor data pipeline performance and troubleshoot issues as they arise.
8. Document data processes and maintain clear communication with technical and non-technical stakeholders.

What will make you successful:

1. Bachelor’s degree in computer science, Information Technology, Data Engineering, or a related field.
2. 4+ years of experience in data engineering, data integration, or a similar role.
3. Proficiency in Talend, AWS S3, Python, and Snowflake.
4. Strong understanding of data warehousing concepts, schema design, and ETL processes.
5. Excellent problem-solving skills and attention to detail.
6. Strong communication skills, with the ability to convey complex concepts clearly to various audiences.
7. Ability to work independently and manage multiple tasks in a fast-paced environment.

What We Offer:

1. Competitive salary and benefits package.
2. Opportunities for professional growth and advancement.
3. A collaborative and innovative work environment.
4. Flexible working arrangements.

We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.