Data Engineering Analyst

The Hyde Group; City Of London; Hybrid; GBP 50,000 - 52,000; Full time

Benefits offered by this job

Flexible and hybrid working

Generous holiday allowance

Pension scheme

Healthcare and wellbeing support

iFlex scheme

Job summary

The Hyde Group is seeking a Data Engineering Analyst to join the Data Engineering & Information Systems Architecture team within Digital and Information in London. You will help build and maintain data pipelines, bring data sources into Snowflake and ensure data is accurate, secure and available for reporting and analysis.

You’ll collaborate with Senior and Lead Data Engineers and business colleagues to deliver reliable data solutions.

Qualifications

• Experience developing or supporting data pipelines, integrations or data warehouse processes in cloud environments.
• Proficient in writing, testing and debugging SQL and Python code.
• Understanding of data modelling, ETL/ELT and data quality concepts; familiarity with Snowflake or AWS benefits.
• Ability to investigate issues methodically and communicate clearly with colleagues.

Responsibilities

• Build, maintain and improve data pipelines and integrations using approved tools and practices.
• Transform, cleanse and validate data to meet quality requirements for reporting and analysis.
• Monitor scheduled processes, investigate failures and escalate as needed.
• Test changes, maintain version-controlled code and document data flows for support.
• Collaborate with colleagues to gather requirements and identify automation opportunities.
• Apply data governance and UK GDPR requirements to daily work.

Skills

SQL

Python

Data pipelines

Data integration

Data quality

Tools

Snowflake

AWS

Job description

Data Engineering Analyst

£49,700 -£52,000

London Bridge

Hyde is looking to recruit a Data Engineering Analyst to join our Data Engineering & Information Systems Architecture team within Digital and Information. If you enjoy solving technical problems and turning data into reliable, usable information, this is an opportunity to apply your skills to work that supports reporting, analysis and service improvement.

Working with Senior and Lead Data Engineers, analysts and business colleagues, you'll develop and maintain data pipelines and integrations, bring agreed data sources into Snowflake and help keep our data accurate, secure and dependable. You'll deliver defined technical work within agreed designs and standards, with guidance from senior colleagues on more complex decisions.

What you'll be doing

• Building, maintaining and improving data pipelines and integrations using approved tools and engineering practices.
• Transforming, cleansing and validating data so it meets agreed quality requirements and is ready for reporting and analysis.
• Monitoring scheduled processes, investigating routine failures and escalating issues that need specialist input.
• Testing changes, maintaining version-controlled code and documenting data flows so solutions can be supported and changed safely.
• Working with colleagues to understand requirements, deliver agreed outputs and identify practical opportunities for automation and improvement.
• Applying data governance, security and UK GDPR requirements to your day-to-day work.

What you'll bring

• Practical experience of developing or supporting data pipelines, integrations or data warehouse processes in a cloud-based or comparable environment.
• Working knowledge of SQL and Python, or similar languages, with the ability to write, test and troubleshoot code.
• An understanding of data modelling, ETL or ELT, data quality and warehousing concepts. Familiarity with Snowflake, AWS or equivalent technologies is relevant.
• A methodical approach to investigating technical issues, organising your workload and recognising when to seek guidance.
• Clear communication and collaborative working skills, alongside experience of version control, technical documentation and controlled development practices.

Working at Hyde

Our values shape how we work: we're customer driven, inclusive, collaborative and innovative. In this role, you'll put those values into practice by working openly with colleagues, taking pride in the quality of your work and finding practical ways to make our data processes more reliable and effective.

Why Join Hyde?

At Hyde, we believe in supporting our colleagues to do their best work while building rewarding careers. Alongside a competitive salary, we offer a comprehensive benefits package designed to support your wellbeing, financial security and work-life balance.

Our benefits include:

• Flexible and hybrid working
• Generous holiday allowance
• Pension scheme
• Healthcare and wellbeing support
• Access to a wide range of flexible benefits through our iFlex scheme

Equity, diversity and Inclusion

are central to life at Hyde. We're committed to creating a workplace where everyone feels respected, valued and able to be themselves. Our diverse perspectives help us better serve the communities we support.

Hyde is a disability confident employer, and we are here to support you with any reasonable adjustments you may need throughout the recruitment process.

We reserve the right to close this advert as soon as a suitable candidate has been identified.