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 communicationwhile growing their careers in a culture where curiosity creativity and accountability thrive.

Were 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 usingPySpark/ Spark SQL Delta Lake Auto Loader and Databricks Workflows to ingest transform and serve data for analytics and reporting.
• Assistin 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 andmaintainingdata models transformations and workflows within the Databricks environment following best practices for Delta Lake and structured data processing.
• Helpmonitorand troubleshoot pipelinesidentifyingissues related to data quality pipeline failures and performance.
• Support the management of data access structure and governance within UnityCatalog 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 usingstate-of-the-artpatterns and modern practices.
• Experience communicating with different teams and stakeholders to align technical and business requirements.
• Experience with software prototypingdevelopmentand testing.
• Experience with ETL/ELT pipelines that include both batch and stream processing.
• Experience with programming in PythonandSpark ( 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 were 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 - its part of who we are.

Were 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. Were building a culture where everyone feels they belong and can thrive and wed 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 to let us know.