Average Data Consultant salary in London

Snowflake Data Engineer/Architect FRG Data are partnered with an exciting and reputable software consultancy who work on cutting edge data migration and analytics projects. They are working on a sizeable Snowflake migration and are looking for Data Engineering and Architecture professionals well versed in Snowflake. Skills & Qualifications needed: 3 years+ Snowflake experienceStrong ETL/ELT experienceStrong Data Warehouse and Architecture understandingAzure/AWSWill suit a strong Data Engineer with some Architecture experience or hands on Architects The Contract: Day rate of up to £425 / €500 per dayFully remote (must be in UK/Europe)6 month contract For more information please apply with your CV below or reach out to Steven Mckay at FRG Data: https://in/steven-mckay-837431207/ Please do not apply if you are not based in Europe, are not set up to contract (Ltd company/B2B/Freelance) or dont have right to work in the country you reside in.

Data/ETL Engineer 3 months London / hybrid remote working £660 per day inside IR35 Key skills required: Ab Initio / SQL / Python / Bash / PLSQL / Oracle Leading consultancy embarking on a digital transformation for financial services end client are seeing a highly skilled Data/ETL Engineer with extensive experience in Ab Initio, Bash, Python, PSQL, and Oracle. The successful candidate will have a strong background in data integration, transformation, and loading processes, along with excellent problem-solving skills. This role involves designing, developing, and maintaining ETL processes to support data infrastructure and analytics needs. Key Responsibilities for the position of Data/ETL Engineer Design, develop, and maintain ETL processes using Ab Initio.Write and maintain scripts in Bash and Python for data manipulation and automation.Develop and optimise SQL queries for data extraction, transformation, and loading in PSQL and Oracle databases.Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions.Monitor and troubleshoot ETL processes to ensure data accuracy and integrity.Perform data profiling, cleansing, and validation to ensure high-quality data.Document ETL processes, data flows, and technical specifications.Stay updated with the latest industry trends and best practices in data engineering and ETL. Required Skills and Experience for the position of Data/ETL Engineer Ab Initio: Extensive experience in designing and developing ETL processes using Ab Initio.Bash: Proficiency in writing and debugging Bash scripts for automation and data manipulation.Python: Strong programming skills in Python for data processing and automation tasks.PSQL: Experience with PostgreSQL, including writing complex SQL queries and performance tuning.Oracle: Proficiency in Oracle databases, including PL/SQL and database management.Problem-Solving: Excellent analytical and problem-solving skills with a keen attention to detail.Data Integration: Experience in data integration, data warehousing, and data migration projects.Version Control: Familiarity with version control systems like Git.Communication: Strong verbal and written communication skills to effectively collaborate with team members and stakeholders. Ab Initio / SQL / Python / Bash / PLSQL / Oracle

Azure Data Architect Tourism and Hospitality industry 6 months + £750-800 per day Inside IR35 Remote/London twice a week Spark, kafka, Azure, Databricks, python Leading consultancy firm are actively recruiting for an experienced Azure Data Architect expertise in designing and implementing data architectures across various domains, including Travel & Hospitality (T&H), Marketing, CRM, and Booking Systems (GDS). The ideal candidate will have a deep understanding of Azure and Microsoft technologies, along with a proven track record in data modelling, future state architecture design, and data capability maturity analysis. This role is pivotal in shaping the data strategy and infrastructure, ensuring that our systems are scalable, efficient, and aligned with business goals. Key Responsibilities for the position of Azure Data Architect Data Architecture Design & Implementation: Lead the design and implementation of future state data architectures, including data lakehouses, Operational Data Stores (ODS), and Master Data Management (MDM) systems.Develop data models that support both current and future business needs, ensuring scalability and performance. Technology Integration: Leverage Azure technologies, including Microsoft Fabric, Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), EventHub/Kafka/Confluent, and Synapse, to build and optimize data pipelines.Integrate Databricks and Spark for advanced data processing and analytics, ensuring seamless data flow and accessibility.Utilize Dynamics 365 and Power BI for CRM data management and visualization, supporting marketing and customer relationship initiatives. Data Governance & Cataloguing: Conduct current state cataloguing of data assets, mapping data across systems to ensure consistency and accuracy.Implement Microsoft Purview for data governance, ensuring compliance with data policies and standards. Data Capability Maturity & Gap Analysis: Perform data capability maturity assessments, identifying gaps in current data infrastructure and processes.Develop strategic plans to address identified gaps, driving improvements in data management practices and infrastructure. Collaboration & Stakeholder Engagement: Collaborate with cross-functional teams, including IT, marketing, and business operations, to align data architecture with organizational goals.Engage with key stakeholders to understand business requirements and translate them into technical solutions. Required Skills: Domain Expertise: Extensive experience in relevant domains: Travel & Hospitality (T&H), Marketing, CRM, and Booking Systems (GDS). Technical Proficiency: Deep knowledge of Azure, including Microsoft Fabric, ADLS, ADF, EventHub/Kafka/Confluent, Synapse, Databricks, and Spark.Strong programming skills in Python for data manipulation and automation.Experience with Dynamics 365 and Power BI for CRM and data visualization. Data Architecture & Modeling: Expertise in data modeling and designing future state data architectures (data lakehouse, ODS, MDM).Experience in data cataloguing, data mapping, and conducting data capability maturity and gap analysis. Spark, kafka, Azure, Databricks, python