Average Data salary in Central London

Up to £60k Central London - Hybrid We are working with a fantastic global independent media agency to find them a Data Engineer to join their growing data team. This agency is at the forefront of driving growth in their specialism through using data to demonstrate the medium as creative, highly effective, sustainable, and measurable to their brilliant clients. As the new Data Engineer you will be focused on the creation and maintenance of data pipelines, data storage solutions, data processing, and data integration, enabling data-driven decision-making within the company. Your role is critical in ensuring that the company's data infrastructure is robust, efficient, and supports data-driven decision-making. Key Responsibilities: Create data solutions using Azure Data Factory, Databricks, Synapse, and Azure SQL Database.Keep up-to-date with Azure services and incorporate new features when relevant.Design Extract, Transform, Load (ETL) processes for data ingestion and integration.Develop workflows to automate data movement and transformation.Manage data load processes, scheduling, and error handling.Design, build, and maintain the data warehousing environment, including defining SQL tables, views, and schemas.Continuously monitor data processing efficiency and latency.Collaborate closely with data analysts and technology partners to understand their requirements and ensure data solutions align with business needs.Stay updated on industry best practices and trends in ETL and data engineering.Be proficient in manipulating and analyzing large datasets.Perform data cleansing and transformation to provide actionable insights to the business.Create and optimize SQL queries and stored procedures for data manipulation and retrieval.Maintain comprehensive documentation for database designs, ETL processes, and data flow processes. Required Skills: Experience in Agile or DevOps delivery methodologies.Strong SQL proficiency.Experience with Analytical/Reporting solutions.Ability to translate business requirements into technical specifications.Excellent communication skills.Familiarity with scripting or object-oriented programming languages.Experience with configuration management, automation, and orchestration tools. Desirable: Experience in the Media domain.Understanding of APIs and microservices.Experience with data visualization tools like PowerBI and Tableau. If you think this role could be a perfect next step for you, then apply now for immediate consideration!

Data Analyst - Financial Services I’m currently looking for a Data Analyst to work for a client of mine that do work with Financial Services firms, Insurance companies and Private Equity firms. You will be responsible for analysing data, exploring new data sets and building complex Excel spreadsheets and Python scripts to process data. You will collaborate with Software engineers and other stakeholders to produce analytics. Job Overview/Job Spec Work with users, senior management and stakeholders to develop analytics Build complex excel spreadsheets and Python code to process data Communicate findings with stakeholders Highly proficient in Python, Excel, Sql Python toolkits - Pandas, NumPy Comfortable visualising data - matplotlib, seaborn Prior experience working with financial data If you would like to discuss this role further call me Subeg Lehl or send me a latest cop[y of your CV. Data Analyst - Financial Services

Data ScientistCentral London / Hybrid WFH12 month fixed term PAYE contract - circ £55k - £60kA Data Scientist with a background working around CRM, customer loyalty & marketing etc required for this 12-month fixed term PAYE contract position. This is an exciting opportunity for a Data Scientist to work on a new customer data platform that collates transactional, demographic, survey and marketing data to enhance our clients loyalty and CRM programmes. Having invested in new technologies such as AWS SageMaker, Snowflake and Power BI, the Data Scientist will support business areas and stakeholders with insights to make informed data driven decisions. You'll be creating and iterating propensity models, developing audience segmentations, helping deploy and automate models and getting involved with MLOps. It's a hybrid position based in the heart of Central London with flexibility to work from home 2/3 days per week.Key responsibilities for the post include;* Consult across various teams to understand how data can generate insights for them.* Use the customer data platform to support (and automate) decision making across the business.* Responsible for data pipelines, model optimisation, MLOps and handling runtimes.* Offer insights to business questions, e.g. A/B testing, segmentations, and propensity modelling.* Provide expert knowledge on data visualisation and storytelling.* Collaborate with other data professionals and foster a culture of curiosity and continuous improvement. Key skills and experience required;* 3+ years experience within a data-driven analytical role, with the ability to analyse and manipulate large data sets.* Very strong SQL and data warehousing experience (experience with Snowflake is beneficial).* Strong Python & ML modelling experience and a solid grounding in statistics.* Experience with propensity models.* Experience in building and optimising data science workloads in cloud environments (experience with AWS SageMaker is beneficial).* Familiar with visualisation tools such Power BI, Tableau, Looker etc.* Customer / Marketing Analytics experience - familiar with analysing customer data.* Excellent stakeholder management - familiar with communicating and collaborating with technical and non-technical stakeholders.* Capable of leading and mentoring junior data analysts. Our client can offer a salary in the region of £55,000 - £60,000 (dependent on experience) plus attractive benefits. For further information, please send your CV to Wayne Hawthorne at Vadis People Services Ltd. Vadis acts in the capacity of both an Employment Agent and Employment Business