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Investigo
England
Role: Data Engineer Location: Fully remote Salary: £45,000 to £55,000 plus great benefits! Contract: Permanent Investigo are working with an exciting growing data driven technology business based in the Midlands in search of a Data Engineer to come and join the team. The company are going through a period of growth and onboarding new customers whi
Job Source: InvestigoRobert Half
London
Robert Half have partnered with a fast growing (PE backed) organisation based in central London who are seeking a skilled Data Engineer to join their team. The ideal candidate should have 3-5 years of hands-on experience in managing and optimising data pipelines, with expertise in the specified tech stack including Power BI, Data Factory, Databric
Job Source: Robert HalfLorien
London
Data Engineer Permanent Hybrid - 2 days a week in Hammersmith My Client, a Large Global organisation based in London, are seeking an experienced Data Engineer to join their Data & Analytics team. They are embarking on a journey to create a single source of data for the organisation globally. This is a highly strategic programme and will need an ex
Job Source: LorienHarnham - Data & Analytics Recruitment
London
DATA ENGINEER £60,000 - £75,000 HYBRID - LONDON This new position is with a global consultancy who have recently expanded into supporting niche but data-driven companies in growing their data capabilities. This is a great position if you are looking to not only expand your knowledge in data engineering but also in data science, BI, and Software En
Job Source: Harnham - Data & Analytics RecruitmentSRGEurope
London
Data Engineer | Blockchain | London | Hybrid Data Engineer with a keen focus on blockchain and distributed ledger technology required for a not-for-profit organisation focused on developing the blockchain ecosystem. The Data Engineer will be pivotal in managing, curating, optimising, and securing datasets specifically related to cryptocurrency disc
Job Source: SRGEuropeCititec Talent
City of London, England, United Kingdom
Data Engineer required for a 6 month initial contract with a leading commodities trading firm. Outside of IR35 Hybrid working - 2/3 days in London office Experience Required: - Commodities industry experience Weather forecasting Airflow (or equivalent data orchestration platforms) Data Modeling (Star Schema) Data Warehousing Data Pipeline Orches
Job Source: Cititec TalentVersion 1
London, England, United Kingdom
Version 1 has celebrated over 26 years in the Technology industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are
Job Source: Version 1Profiles by Kantar
united kingdom
Reading, (hybrid/remote) occasional travel to the office required.Kantar is the world’s leading market-research and analytics company. We have a complete, outstanding, and rounded understanding of how people think, feel and act; globally and locally in over 90 markets. By combining the deep expertise of our people, our data resources and benchmarks
Job Source: Profiles by Kantargreater london, england, United Kingdom
Job Title: Data Engineer
Location: London, UK
Hybrid
Company Overview:
La Fosse is excited to collaborate with a prominent player in the Media industry dedicated to harnessing data-driven insights to propel organisational growth and innovation. Our client is committed to excellence, boasting a dynamic team that values creativity, collaboration, and continuous improvement.
Position Overview:
We are partnering with our client to identify a skilled Data Engineer to join their London team. As a Data Engineer, you will play a crucial role in advancing data-driven decision-making throughout the organisation by overseeing the comprehensive process of importing, cleansing, transforming, and validating data to derive actionable insights. You will collaborate closely with cross-functional teams to grasp data requirements, construct robust database management solutions, and ensure data integrity and accessibility for non-technical stakeholders.
Key Responsibilities:
Develop and maintain robust database management solutions using SQL Server and TSQL, encompassing the creation and upkeep of stored procedures to optimise data handling processes.
Leverage Python for advanced data manipulation and analysis, crafting efficient workflows and procedures to automate data tasks and diminish processing time.
Extract, cleanse, and transform large and unstructured datasets from diverse platforms, ensuring data accuracy, integrity, and suitability for purpose.
Collaborate with internal teams to ascertain precise requirements related to data analysis and target market research, collaborating with external data suppliers to uphold data quality and relevance.
Administer CRM systems such as Salesforce, conceptualising and implementing features to facilitate data selections, uploads, integrity checks, and maintenance.
Develop and deliver comprehensive data analysis reports, translating intricate insights into easily understandable documents for business stakeholders.
Qualifications and Experience:
Minimum Experience:
A highly numerate individual with outstanding attention to detail and hands-on experience in data engineering.
Demonstrated track record of efficiency, prioritisation, and delivering high-quality outputs in a fast-paced environment.
Proven capability in multitasking and managing high-volume data transactions while ensuring accuracy and precision.
Technical and Job-Specific Skills:
Proficiency in SQL Server, and the creation/maintenance of stored procedures.
Basic to intermediate proficiency in Python for advanced data manipulation and automation.
Advanced proficiency in MS Excel for handling complex datasets and executing advanced data manipulations.
Strong familiarity with business intelligence tools for data analysis and visualisation.
Behavioural Competencies:
Efficiency: Ability to generate accurate results within optimal timeframes.
Quality-driven: Prioritisation of high-quality outputs in all tasks.
Creativity: Innovative approach to data-driven challenges, bringing fresh perspectives.
Teamwork: Collaborative spirit, ensuring seamless intra-team communication and joint problem-solving.
Communication: Clear and effective communication in both written and verbal forms.
Our client is an equal-opportunity employer committed to diversity and inclusion in the workplace.
If you are passionate about leveraging data to drive business success and thrive in a collaborative, innovative environment, we want to hear from you! Apply now at [email protected]
Email Alert for Data Engineer jobs in greater london, england, United Kingdom
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