Junior Data Engineer

When you join Exclaimer you will join a global award-winning SaaS provider with an exceptional revenue rate, ambitious growth plans, and an inclusive and outcomes-driven culture.

Exclaimer is a high-growth SaaS company with 300+ colleagues across the UK, US, Europe, and Asia-Pacific. We promote a people-first culture built on fairness, inclusion, psychological safety, and continuous learning. As we evolve into a multi-channel platform for branded business communications, we offer employees the opportunity to shape the future of global communication—while growing their careers in a culture where curiosity, creativity, and accountability thrive.  

We’re officially Great Place To Work Certified™

Exclaimer has been recognised by Great Place To Work® for our culture of collaboration, trust, and growth. This certification reflects our commitment to creating an environment where every voice matters and people genuinely enjoy coming to work.  See our accreditations to learn more: Great Place to Work® UK | Great Place To Work® USA

About the opportunity 👇

Your responsibilities will include: 

• Support the design, development, and maintenance of reliable and scalable data pipelines in Databricks, using PySpark / Spark SQL, Delta Lake, Auto Loader, and Databricks Workflows to ingest, transform, and serve data for analytics and reporting. 
• Assist in analysing data challenges and implementing solutions that meet defined business and technical requirements. 
• Work closely with data analysts and other engineers to understand data needs and help deliver high-quality, analytics-ready datasets. 
• Contribute to building and maintaining data models, transformations, and workflows within the Databricks environment, following best practices for Delta Lake and structured data processing. 
• Help monitor and troubleshoot pipelines, identifying issues related to data quality, pipeline failures, and performance. 
• Support the management of data access, structure, and governance within Unity Catalog, ensuring datasets are organised and handled appropriately. 
• Use Auto Loader and Databricks Workflows to help automate ingestion and orchestration processes across multiple data sources. 
• Apply data engineering best practices including testing, documentation, version control, and peer review. 
• Collaborate with IT, platform, engineering, and product teams to support the delivery of robust data solutions into production. 
• Ensure data is handled in line with security, governance, and compliance requirements. 
• Communicate clearly with stakeholders and team members to understand priorities, share progress, and support successful delivery. 
• Work effectively in an Agile software engineering environment, using source control, release processes, automated testing, and continuous integration / continuous deployment practices. 

The right candidate is important to us, and we are looking for someone who has the following skills/knowledge: 

• BSc/MSc in Computer Science or related fields. 
• Experience designing architecturally robust solutions for complex software problems, especially in data related areas. 
• Experience with rigorous software development practices using state-of-the-art patterns and modern practices. 
• Experience communicating with different teams and stakeholders to align technical and business requirements. 
• Experience with software prototyping, development and testing. 
• Experience with ETL/ELT pipelines that include both batch and stream processing. 
• Experience with programming in Python and Spark (e.g. PySpark, Spark SQL, Spark Streaming, etc). 
• Experience with data manipulation libraries (e.g. Pandas, NumPy, etc). 
• Experience with data querying and manipulation using SQL. 
• Knowledge of Databricks and related technologies (e.g. Delta Lake, Delta Live Tables, etc). 
• Knowledge of relational (e.g. SQL Server, etc) and No-SQL (e.g. MongoDB, etc) databases. 
• Familiarity with message queues and streaming services (e.g. Azure Event Hub, Kafka, etc). 
• Familiarity with Azure and other cloud-native technologies. 
• Ownership, attention to detail and commitment to quality. 
• Strong written and verbal English communication skills. 

At Exclaimer, we’re proud to offer a benefits package that reflects our commitment to supporting you professionally, personally, and wherever life takes you. 

At Exclaimer, inclusion is more than a policy - it’s part of who we are.

We’re proud to be an equal opportunity employer and welcome applications from people of all backgrounds, experiences, and identities. We consider all candidates fairly and without discrimination irrespective of ethnicity, race, religion, nationality, age, gender, marital status, disability, neurodivergence, caring responsibilities, sexual orientation, or gender identity. We’re building a culture where everyone feels they belong and can thrive, and we’d love for you to be part of it.  If you require any reasonable adjustments or support through the application or hiring process, please email the team in confidence via Work@Exclaimer.com to let us know.