Data Engineer

at  Gama Aviation

JOB DETAILS

/Position: Data Engineer
/Location: Farnborough HQ (Hybrid)
We are looking to add a second Data Engineer this month into our current data team of 4, who will help to manage challenging and rewarding data migrations for our clients.
Part of this role will require learning various elements of software development, micro-service architecture and the importance of SaaS APIs. Over time there is potential for this individual to join our software development team.
This is an amazing opportunity for an individual who would thrive in an environment where they will be responsible for a key customer-facing function, whilst also having the opportunity to learn and expand their knowledge of data engineering and software development.
You would be working closely with our experienced engineering team, who will be supportive in giving you the advice and exposure to learn and develop your knowledge.

As a Data Engineer you will have exposure to:

• Complex data migrations from source to target systems
• Elements of project management to ensure a successful migration outcome
• Coding languages, such as C#
• Becoming familiar with micro-service architectures
• Learning how data is managed within a leading-edge SaaS product
• Learning the importance of using APIs in the cloud
• Learning about core business logic
• Bug fixing
• Managing data in Microsoft Azure

Our team are naturally very helpful and friendly! They will be keen to support you and to help our data engineering capability develop and grow.
Our culture is extremely important to us, and we are looking for an individual who will enjoy working at a fast pace, with a supportive team. This role will suit an individual who is naturally motivated, inquisitive and will take ownership of their own development.
/About us:
We’re a friendly team of experts, optimists, big-thinkers and problem-solvers. myairops is a leader of SaaS products to the aviation industry with customers across the globe with diverse challenges including corporate flight departments, brokers, medical providers, military and business aviation operators. Solutions are provided through innovative web delivered software and connected mobile applications.
/More about the role:
The Data Engineer is a member of the Customer Success function. They work very closely with our engineering team and developers, leading successful data migration projects and data management activities with respect to myairops products and data.
The Data Engineer will remain focused on representing the customer requirements, and understanding what is important to the customer in the way we manage data migrations.

/Primary Responsibilities include, but are not limited to:

• Working with assigned customers to lead on data migration tasks, especially migrating customers’ data from existing 3rd party systems into the myairops platform.
• Executing, and managing the data migration process to maximise efficiency and accuracy of migration, whilst collaborating with relevant stakeholders to ensure that the data design, functionality, and processes are aligned.
• Managing discussions with relevant Subject Matter Experts and stakeholders to identify, define, and document the business requirements for the data migration.
• Develop and execute the extraction and transformation scripts/processes/activities from the clients’ existing systems.
• Maintain and manage data onboarding scripts and tools to allow the loading of customer data to environments.
• Transfer of data to templates ready for migration, ensuring a clear and complete understanding of the requirements.
• Determine ways to improve efficiency and ensure accuracy of transfer using suitable tools.
• Escalate any risks or issues encountered or anticipated as early as possible, to ensure minimal impact to the client projects.
• Manage the quality of process data into the environment, minimising the levels of defects and occurrences of incorrect data.
• Maintain quality of documentation and activity to agreed levels within the appropriate areas.
• Maintain core data repositories for baseline product environment delivery. Ensuring ETL pipelines for data input to products and central data sources/microservices are maintained and managed.

/Skills, Qualifications and Experience required:

Essential:

• Degree or equivalent experience within relevant area of Engineering
• Intermediate level knowledge of SQL
• Basic knowledge of Python
• Basic knowledge of C#
• Basic understanding of JSON
• Understand of the principals of building interactive applications to communicate with Business APIs.
• Ability to manage multiple tasks, utilising effective time management & prioritising skills.
• Able to proactively manage and anticipate potential issues and risks.
• Able to demonstrate strong communication skills, to work effectively with all teams across the business, instilling confidence and trust in our data engineering capabilities.

/Benefits include:

• Competitive Salary
• Group Pension Scheme – up to 5% contributions matched
• Life Assurance
• Income Protection
• Travel Insurance
• Private Healthcare (after probation)
• Discounts at popular retailers

• Working with assigned customers to lead on data migration tasks, especially migrating customers’ data from existing 3rd party systems into the myairops platform.
• Executing, and managing the data migration process to maximise efficiency and accuracy of migration, whilst collaborating with relevant stakeholders to ensure that the data design, functionality, and processes are aligned.
• Managing discussions with relevant Subject Matter Experts and stakeholders to identify, define, and document the business requirements for the data migration.
• Develop and execute the extraction and transformation scripts/processes/activities from the clients’ existing systems.
• Maintain and manage data onboarding scripts and tools to allow the loading of customer data to environments.
• Transfer of data to templates ready for migration, ensuring a clear and complete understanding of the requirements.
• Determine ways to improve efficiency and ensure accuracy of transfer using suitable tools.
• Escalate any risks or issues encountered or anticipated as early as possible, to ensure minimal impact to the client projects.
• Manage the quality of process data into the environment, minimising the levels of defects and occurrences of incorrect data.
• Maintain quality of documentation and activity to agreed levels within the appropriate areas.
• Maintain core data repositories for baseline product environment delivery. Ensuring ETL pipelines for data input to products and central data sources/microservices are maintained and managed