data & AI
Diversity Report

To Apply for this Job Click Here

ANALYTICS ENGINEER

6-MONTH CONTRACT

SNOWFLAKE, DBT

£500-£575 PER DAY OUTSIDE IR35

This role offers a great opportunity for an Analytics Engineer to join a fast-scaling digital business undergoing a complete rebuild of its analytics infrastructure. You’ll play a key role in reshaping how data is modeled, accessed, and used across teams – all with a focus on clarity, consistency, and self-serve analytics. The environment values autonomy, quality, and user-first thinking, with the freedom to shape best practices from the ground up.

THE COMPANY
This is a high-growth consumer business committed to data-informed decision-making across marketing, operations, product, finance, and customer success. They’re currently rebuilding their analytics platform with modern, scalable tools and need a strong contractor to accelerate this transition. Working in a fast-paced, collaborative, and remote-first environment, you’ll make a lasting impact on how data empowers the organisation.

THE ROLE
You’ll join the data team to lead the design and delivery of a new semantic layer in Looker. You’ll work with stakeholders across departments to translate business needs into performant, trusted data models using LookML and dbt. You’ll also play a critical role in shaping the self-serve analytics experience and ensuring the platform is intuitive, documented, and cost-efficient.

Your responsibilities will include:

• Rebuilding LookML models to reflect real-world business processes and logic.

• Designing and implementing dbt models that power clean, consistent metrics.

• Collaborating with business teams to understand reporting needs and deliver intuitive analytics experiences.

• Creating clear documentation for dashboards, metrics, and models.

• Ensuring optimal performance and cost efficiency across Looker and Snowflake

• Supporting a stakeholder-first approach to data usability and access.

KEY SKILLS AND REQUIREMENTS

• Extensive experience operating within Snowflake environments

• Advanced experience with Looker and LookML, including semantic layer modeling and dashboard design.

• Proficiency in SQL and dbt, with a strong understanding of data modeling best practices.

• Strong communication skills with the ability to translate complex needs into elegant data solutions.

• Focus on usability, documentation, and data clarity.

• Comfortable working independently in a dynamic, fast-changing environment.

DESIRABLE SKILLS

• Experience rebuilding or refactoring a Looker instance from scratch.

• Familiarity with Snowflake performance tuning and cost optimization.

• Experience scaling analytics across a cross-functional organisation

HOW TO APPLY
Please register your interest by sending your CV via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

DATA ARCHITECT

£550 – £600 per day

6 – months

We are representing a leading UK organisation recognised for its large-scale operations, strong public profile, and commitment to digital transformation. The organisation is undergoing a significant modernisation programme, with investment in technology, data, and cloud platforms to drive efficiency, transparency, and innovation across all business functions. With an emphasis on collaboration, inclusion, and continuous improvement, this organisation is seeking top-tier talent to help shape its future.

Role Overview & Responsibilities
Our client is seeking an experienced Senior Data Architect to play a pivotal role in the migration of Finance and HR divisions onto Workday. This contractor will be instrumental in shaping the organisation’s data strategy, building scalable architecture solutions, and ensuring data integrity, security, and governance.

Key responsibilities include:

• Designing and implementing scalable data architecture solutions aligned with business and industry standards.

• Supporting the migration of Finance and HR data and systems into Workday.

• Managing critical data elements in Purview Data Catalogue and ensuring effective usage across the business.

• Establishing and enforcing data governance, quality, and security standards.

• Developing a data operating model for BAU and ongoing product adoption.

• Driving data architecture evolution to support advanced analytics and AI over the next four years.

• Collaborating with cross-functional stakeholders to translate business requirements into data solutions.

• Providing technical leadership and mentorship to data architects, engineers, and analysts.

• Staying up to date with new technologies, and recommending improvements to architecture practices.

Technical Skills & Experience

Must-have:

• Extensive experience designing and implementing enterprise-scale data architectures

• Proficiency in data integration and ETL processes.

• Advanced skills in SQL, Python, or equivalent programming languages.

• Strong knowledge of data governance, data security, and compliance frameworks.

• Expertise in Master & Reference Data Management and Data Quality best practices.

• Cloud-based architecture experience (AWS, Azure, or GCP).

• Experience implementing data management frameworks and operating models.

Desirable:

• Master’s degree or DAMA certification (CDMP).Proven expertise with Workday product and data integrations.

• Experience across different database architectures (Lakehouse, Relational, Document Store).

• Familiarity with observability tools, BI platforms (Power BI), or Agile methods.

• Knowledge of advanced analytics, data science, or NLP techniques.

Soft Skills

• Strong stakeholder management and communication skills, able to bridge technical and non-technical conversations.

• Excellent problem-solving, attention to detail, and documentation skills.

• Proven leadership with the ability to mentor and guide teams.

To Apply for this Job Click Here

To Apply for this Job Click Here

Databricks Data Engineer

£500 – £600 per day

Outside IR35

We’re partnering with a leading online retail company that’s transforming the way data and real-time intelligence shape customer experiences. Their mission is to harness cutting-edge data and streaming technologies to drive smarter decisions, improve efficiency, and create personalised journeys for millions of shoppers worldwide.

The Role

As a Senior Data Engineer, you’ll play a key role in developing and optimising the backbone of the company’s data platform. You’ll be responsible for building and maintaining large-scale, real-time data pipelines that power analytics, machine learning, and operational systems across the business.

You’ll collaborate with software engineers, data scientists, and analytics teams to ensure the platform delivers reliable, high-quality, and compliant data at scale. This is a hands-on engineering role that blends software craftsmanship with data architecture expertise.

Key responsibilities:

• Design and implement high-throughput data streaming solutions using Kafka, Flink, or Confluent.

• Build and maintain scalable backend systems in Python or Scala, following clean code and testing principles.

• Develop tools and frameworks for data governance, privacy, and quality monitoring, ensuring full compliance with data protection standards.

• Create resilient data workflows and automation within Airflow, Databricks, and other modern big data ecosystems.

• Implement and manage data observability and cataloguing tools (e.g., Monte Carlo, Atlan, DataHub) to enhance visibility and reliability.

• Partner with ML engineers, analysts, and analytics engineers to understand their data needs and enable advanced data use cases.

• Contribute to an engineering culture that values testing, peer reviews, and automation-first principles.

What You’ll Bring

• Strong experience in streaming technologies such as Kafka, Flink, or Confluent.

• Advanced proficiency in Python or Scala, with a solid grasp of software engineering fundamentals.

• Proven ability to design, deploy, and scale production-grade data platforms and backend systems.

• Familiarity with data governance frameworks, privacy compliance, and automated data quality checks.

• Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms.

• Collaborative mindset and experience working with cross-functional teams including ML and analytics specialists.

• Curiosity and enthusiasm for continuous learning – you stay up to date with the latest tools and trends in data engineering and love sharing knowledge with others.

Please send your email

To Apply for this Job Click Here

To Apply for this Job Click Here

TECHNICAL BUSINESS ANALYST

£410 PER DAY OUTSIDE IR35

MAINLY REMOTE – OCCASIONAL ONSITE TRAVEL (LONDON)

3 MONTH CONTRACT

THE COMPANY:

A consultancy focused exclusively on data is looking to expand its team to support their clients.

THE ROLE:

As a Technical Business Analyst, your key responsibilities will include:

• Managing 2-3 data projects concurrently with an existing client.
• Liaising with business stakeholders to gather detailed requirements.
• Build and maintain SQL queries to support reporting and analytical requirements.
• Develop Power BI dashboards and reports that deliver actionable business insights.
• Producing clear and structured documentation for offshore development teams.
• Working closely with a team of analysts and an offshore team.
• Profiling and analysing data sets in the second phase of delivery.

YOUR SKILLS AND EXPERIENCE:

The successful Technical Business Analyst will have:

• Strong skills in SQL and Power BI.
• Experience working on digital customer projects focusing on customer journey.
• Experience in data modelling, and data cleansing.
• A background in profiling data and ensuring data quality.
• Confidence in dealing with challenging stakeholders.
• Prior consultancy experience (Big 4 ideally).

HOW TO APPLY:

Please register your interest by sending your CV to Mojola Coker via the apply link on this page.

To Apply for this Job Click Here