Junior Data Engineer

AXA UK; Redhill; Hybrid; GBP 29,000 - 35,000; Full time

Job summary

A leading insurance firm in Redhill is seeking a Data Engineer to develop, maintain, and optimize data pipelines. You will work on enabling machine learning solutions and contribute to data-driven initiatives. The role requires experience with PySpark and Azure technologies, offering a competitive salary up to £35,000 and various employee benefits including a pension scheme and health coverage.

Benefits

Competitive annual salary

Annual bonus

Contributory pension scheme

Private health cover

25 days annual leave plus Bank Holidays

Qualifications

• Experience with data orchestration, governance, and MLOps.
• Ability to collaborate with analysts and scientists.
• Capable of transforming data platforms for enhanced capabilities.

Responsibilities

• Design, build and deploy data systems and maintain current pipelines.
• Ingest data from various sources including relational databases.
• Collaborate with business to scope problems and provision infrastructure.

Skills

Applied experience with PySpark

Practical experience with Azure Data Lake

Experience with Python

Knowledge of CI/CD

Problem-solving skills

Strong communication skills

Ability to work with structured and unstructured data

Exposure to Insurance or Financial Services

Tools

Azure Data Factory

Azure Databricks

Job description

Description

We're seeking a talented and motivated Data Engineer to join our team. Our aim is to deliver a robust platform that enables Machine Learning and analytics to drive indemnity savings, efficiency benefits and improved customer outcomes. We're focused on developing our data engineering capability so that machine learning and AI solutions can be developed and deployed internally in a sustainable way within claims analytics. You'll have the opportunity to develop your skills in data orchestration, data governance, CI/CD and MLOps. You'll assist in the development of robust data pipelines, optimise data storage and retrieval, and contribute to the overall success of our data-driven initiatives.

At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means either attendance at one of our office locations, visiting clients or attending industry events. We\'re also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition.

What you\'ll be doing

• Design, build and deploy data systems, pipelines, and applications and maintain current data pipelines.
• Ingest data from a variety of data sources from relational databases to unstructured data such as text documents.
• Operate in fast-paced, iterative environment while remaining compliant with Information Security policies and Data Governance practices and standards.
• Collaborate with data analysts and data scientists to prepare data for use in their advanced analytical models.
• Work closely with the business on problem scoping, infrastructure provisioning, execution, deployment, maintenance to build a detailed knowledge of AXA data sources, both internal and external.
• Help transform the existing platform and pipelines to enable faster execution and more capabilities, implementing activities such as advanced orchestration (DAGs), data quality checks, catalogues, CI/CD and MLOps.
• Design re-usable code and data assets to enable team activity using Software Engineering best practices and code frameworks.
• Build market leading data engineering solutions and assist in building our cloud-based data asset to enable commercial decision making based on rich, robust data.

Due to the number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we\'re able to effectively manage interest. Therefore, if you\'re interested in joining us at AXA, please don\'t hesitate to apply.

What you\'ll bring

• Applied experience with PySpark.
• Practical experience of using Azure Data Lake, Azure Data Factory and Azure Databricks.
• Experience with Python and other programming languages.
• Knowledge of CI/CD.
• Skilled in grasping challenges for business stakeholders and looking for their solutions.
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modelling decisions and data engineering strategy.
• Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets.
• Previous exposure to Insurance or Financial Services would be advantageous.
• As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.

What we offer

• Competitive annual salary of up to £35,000 dependent on experience
• Annual company & performance-based bonus
• Contributory pension scheme (up to 12% employer contributions)
• Life Assurance (up to 10 x annual salary)
• Private health cover
• 25 days annual leave plus Bank Holidays
• Opportunity to buy up to 5 extra days leave or sell up to 5 days leave
• Wellbeing services & resources
• AXA employee discounts

To apply, click on the 'apply for this job' button, you\'ll then need to log in or create a profile to submit your CV. We\'re proud to be an Equal Opportunities Employer and don\'t discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we\'re proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to [e-mail].

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Who we are

AXA UK Support Functions power AXA\'s three customer-facing business units, providing the infrastructure, support and expertise to ensure our customers can always count on us. Whether you\'ve got heaps of experience and qualifications behind you, or you\'re just starting out, we\'ll give you the support and opportunities to help you grow and develop with confidence.