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Senior Data Engineer

The Digital Recruitment Company

Greater London

Hybrid

GBP 50,000 - 55,000

Full time

6 days ago

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Job summary

An established industry player is seeking a Senior Data Engineer to join their innovative Azure-native data team. This exciting role involves maintaining and evolving a robust data platform, focusing on data integration, ETL pipelines, and AI-driven insights. You will design and optimize Azure Data Factory pipelines, work with SQL Server, and integrate machine learning models to enhance reporting and analytics. The position offers a collaborative Agile environment where your contributions will shape the firm's data strategy. If you are passionate about making a real impact in a skilled team, this opportunity is perfect for you.

Benefits

25 days holiday, rising to 28 over 5 years

Holiday purchase scheme

3-4 days off over Christmas

Birthday day off

Volunteering day

Private Medical Insurance

Pension scheme

Professional qualifications support

Qualifications

Expert in setting up and maintaining Azure Data Factory pipelines.
Skilled in designing and optimizing ETL workflows.

Responsibilities

Design and optimize Azure Data Factory pipelines for data integration.
Collaborate within an Agile Scrum environment for project delivery.

Skills

Data Integration & ETL

Azure Data Factory (ADF)

Power BI

SQL

Azure Machine Learning

Documentation & Knowledge Sharing

Problem Solving & Adaptability

Education

Bachelor's Degree in Computer Science or related field

Tools

Azure DevOps

Git

Azure Data Lake

Azure Synapse Analytics

The Digital Recruitment Company provided pay range

This range is provided by The Digital Recruitment Company. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from The Digital Recruitment Company

Executive Search, Digital Recruitment: UK, Europe & New York Talks about #hiring, #digital, and #marketing

Job Type: Permanent

Location: London – Hybrid/flexible

Consultant: Mags Rendle

Excellent career opportunity!

The Organisation

TDRC are excited to be once again working with one of the UK’s leading Wealth Management firms.

Through their robust infrastructure, cutting edge technology, and exceptional support, they are delivering an excellent and reliable service to their continuously expanding client base. They are providing the utmost level of quality and security in everything they do.

The Role

We are seeking a Senior Data Engineer to join our Azure-native data team in a leading UK financial services firm. This role is key to maintaining and evolving our data platform, supporting both ongoing enhancements and greenfield development. You will work on data integration, ETL pipelines, analytics, and AI-driven insights, ensuring robust data solutions that support business growth.

You will be responsible for designing, building, and optimising Azure Data Factory (ADF) pipelines, working with SQL Server (designing and populating data schemas), Azure Data Lake, and Power BI, and integrating machine learning and AI models into our data processes. Experience with Azure Synapse Analytics is beneficial as we explore future capabilities.

Collaboration is central to the role. You will work within an Agile Scrum environment, using Azure DevOps for backlog management and version control, and contributing to mentorship and knowledge sharing within the team.

This is an opportunity to make a real impact in a small, skilled team, helping shape the firm’s data strategy and capabilities.

Technical Skills

Data Integration & ETL

Azure Data Factory (ADF): Expert in setting up, configuring, and maintaining Azure Data Factory pipelines for efficient ETL processes, with a strong focus on data reliability and performance.

ETL Development:

Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading.

Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills.

SQL & Data Management: Advanced knowledge of SQL for querying, transforming, and managing data, with hands-on experience in SQL Management Studio.

Azure Machine Learning: Some experience desirable in implementing machine learning models within Azure Machine Learning to enhance reporting and predictive analytics.

Data Storage & Processing

Azure Data Lake: Knowledge of Azure Data Lake for efficient storage and retrieval of large datasets.

Azure Synapse Analytics (Familiarity): Familiarity with Azure Synapse, with the potential to transition to it for complex data processing needs in the future.

AI Integrations

ChatGPT / Copilot Integrations: Experience integrating with ChatGPT or Microsoft Copilot to automate data processing or enhance analytical insights.

Source Control:

Experience with Git or other version control systems, ideally within Azure DevOps for seamless integration with CI/CD.

Skilled in working with an Agile Scrum framework, including managing work items in Azure DevOps and completing deliverables within a 2-week sprint cadence.

Soft Skills

Documentation & Knowledge Sharing:

Excellent documentation practices for data pipelines, analytics models, and processes, ensuring knowledge transfer and transparency.

Committed to mentoring junior data engineers, providing guidance on best practices,

technical skills, and professional development.

Problem Solving & Adaptability:

Capable of resolving complex data challenges and adapting solutions to changing business requirements.

Strong communication skills for working effectively with cross-functional teams, including data scientists, product teams, and stakeholders.

This is an impressive business offering a supportive work environment with opportunities for both personal and professional development.

Some of the benefits:

Holiday Entitlement–25 days rising to 28 over 5 years

Holiday purchase scheme - 5 days and carry over 5 days into the following year

3-4 days over Christmas – offices close

A day to celebrate your birthday, A day to move house, A day for your wedding

A day to make a difference (volunteering day) Give blood (2 hours)

Pension–7% employer / 5% employee contribution

Private Medical Insurance (PMI) –MHD with optical & dental cover(no upper age limit)

Group Income Protection (GIP) –75% of salary (to state pension age)

Death in Service (DIS) –4 x salary (to age 70)

Critical Illness Cover (CIC) -£10k cover (to age 70)

Professional qualifications, study, training and development

And many more…..

Get in touch to find out more about the benefit package, the organisation, and this career opportunity.

Apply below And Mags will be in touch to discuss the role further.

The Digital Recruitment Company is an Employment Business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies.

To apply for this role please contact us at:

Mags Rendle 0203 640 2133

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Information Technology and Analyst
Industries
IT System Custom Software Development, Financial Services, and Investment Management

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