Senior Data Engineer

at  Hiire

Hiire is helping Exclaimer, a global award-winning SaaS provider with an exceptional revenue rate, ambitious growth plans, and an exciting work culture to hire their next Senior Data Engineer.
Not heard of Exclaimer? They provide world-class email signature solutions that let organizations of any size achieve brand consistency, legal compliance, and customer engagement on any device. Designed for Microsoft 365, Google Workplace, and Microsoft Exchange, our solutions are used by over 50,000 customers in 150+ countries. Some of these customers include renowned companies such as Sony, Mattel, Bank of America, NBC, the Government of Canada, the BBC, and the Academy Awards. They have over 275 employees worldwide and as part of their continued growth, we are looking for a Senior Data Engineer to join their Data Platform team. We need someone that is an enthusiastic problem solver, who likes to be challenged, and has the drive to go out of their comfort zone. We need you to be resourceful and committed to quality, a good communicator, and a team player.
Your role in the team: The Data Platform team is responsible for a collecting, analysing and sharing data across the business. You will work on the design, development, and maintenance of reliable, efficient, and scalable data systems and pipelines to support the Exclaimer growing business.

SKILLS KNOWLEDGE AND EXPERTISE

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/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.

BENEFITS

We offer you a challenging job in a growing and truly global international SaaS company with a competitive compensation structure. Ah, and you will be part of a fun and hardworking team:

• Remote / Hybrid working
• Healthcare
• Life insurance
• 6 weeks - work anywhere option per year
• Employee Assistance program
• Contributory retirement savings plan
• Opportunities for training & development
• Great team and culture
• Discounts portal
• Income protection Insurance
• Online GP services

Exclaimer is an equal opportunity employer and people seeking employment with us are considered without regards to race, colour, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.

• Analyze complex data challenges and recommend adequate solutions according to the identified requirements.
• Design, develop and maintain efficient, reliable and scalable data systems and pipelines to support the idealized solutions.
• Work closely with the data analytics team to understand requirements, ensure adequate data architectures and deliver end-to-end data initiatives.
• Align with the IT, platform, engineering and product teams to deliver technically robust and business aligned solutions to production.
• Communicate with different teams and stakeholders to align technical and business requirements.
• Work well in a modern agile software engineering environment, with source code control, release cycles, extensive testing, and continuous deployment.