Senior Data Engineer

JR United Kingdom; Nottingham; Remote; GBP 40,000 - 60,000; Full time

Job summary

A dynamic professional services company in London seeks a talented Data Engineer for a new role. This position involves designing data pipelines, overseeing ETL operations, and ensuring data integrity. An ideal candidate has strong analytical skills, expertise in Python and Azure Synapses, and 2-3 years of relevant experience. The role supports a growth mindset and offers remote work with a generous benefits package including 28 days of holiday.

Benefits

28 days holiday

Remote working situation

Qualifications

• 2 - 3 years experience in a data analyst/engineering role.
• Ability to communicate technical information effectively.
• Willingness to learn new skills and technologies.

Responsibilities

• Design and develop data pipelines and oversee ETL operations.
• Implement data quality checks and ensure high data integrity.
• Communicate technical concepts to non-technical stakeholders.

Skills

Analytical skills

Communication skills

Collaboration skills

Problem-solving mindset

Curiosity

Tools

Python

Azure Synapses

Job description

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A dynamic and prestigious professional services company based in the heart of the City of London is seeking a talented Data Engineer to join their team in this newly created role. This multifaceted position offers an exceptional opportunity for an experienced professional to work broadly across the business, planning, developing and implementing data solutions. The successful candidate must possess strong analytical skills, in-depth understanding of data engineering principles and the ability to translate business requirements into high quality data solutions

The main focus of the role will include:

• Designs and develops data pipelines for the preparation, transformation and loading of data into the appropriate data storage
• systems, following standard medallion architecture principles.
• Oversee ETL (Extract, Transform, Load) operations to ensure data from various sources is accurately transformed and loaded
• Implement data quality check, validation rules, and profiling techniques to maintain high data integrity.
• Work on data cleansing and normalisation to ensure data usability for business reporting and analysis purposes.
• Communicate technical concepts to non-technical team members ensuring alignment on project goals and data strategies.
• Optimise data models for performance and scalability.
• Troubleshoot and resolve data-related issues ensuring systems and pipelines run smoothly.
• May lead smaller projects or part of larger projects involving planning, execution and reporting
• Support code reviews, help mentor team members and guide project tasks
• Participation in design and implementation of data warehousing solutions as required to meet business needs.
• Adhere to architecture, design, implementation, and security standards and best practices.
• Prepare technical documentation, including data flow, data storage design, test results, and technical manuals.
• Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed.

To succeed in this role, the individual will need:

• Strong analytical skills and a curious mindset.
• Excellent communication and collaboration skills.
• Ability to work in a dynamic, fast-paced environment.
• Growth mindset and a willingness to learn new skills, technologies, and frameworks.
• Demonstrated ability to communicate complex technical information in a condensed manner to various stakeholders verbally and in writing.
• An expert working knowledge of Python and Azure Synapses.
• 2 - 3 years experience of working within a data analyst / engineering capacity.

This is a fantastic opportunity for an individual looking to be an SME to a business and operate broadly across a multitude of projects. The successful candidate can expect a generous benefits package which includes 28 days holiday and a remote working situation.