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Role: Data Engineer Location: Woking Salary: £45,000 - £50,000 ( Bonus) We are seeking an experienced individual to join our team as a Data Engineer as we begin a journey to transform our data and analytics capabilities. The ideal candidate will be a data engineer or developer with experience within a small business (start-up and scale-up) and skills in SQL, Python, UX frameworks and cloud platforms. You will work on both the development and maintenance of the existing data infrastructure, and as a key contributor to the architecture, design and build out of the strategic architecture. Role Requirements: Willingness to get hands on with company data and tooling, and the desire to create effective solutions that deliver business outcomes quickly and efficiently. A demonstrated ability to develop new innovative and structure solutions while being a team-player in the support of legacy processes and the re-tooling of current capabilities. Ability to design, build and deploy data solutions which capture, explore, transform and utilise data to support operational effectiveness, analytics and decision-making. Main Responsibilities: Operational and Management Reporting: Design, develop, and maintain complex SQL queries and stored procedures to extract and manipulate data from various sources. Create, optimise and customise reports for business and operational functions to ensure data accuracy and consistency. Identify, prioritise and implement opportunities for improving use of data, business outcomes, performance and efficiency. Provide technical support and troubleshooting assistance for data, applications and reporting. Analytics and innovation: Develop new capabilities and tools to deliver quick and effective solutions to business operational, efficiency and information challenges. Demonstrate the power of existing data by delivering solutions to empower end-users to access data that leverages third-party tools, applications, and cloud-based capabilities. Support business colleagues to leverage data assets using reporting tools and no/low-code capabilities and tooling. Data Transformation: Participate in the design of new data solutions including the creation of a cloud-based data platform. Design and development of ETL pipelines to manage the flow of data and develop business insights. Analyse sources to determine value and recommend data to include in business processes. Integrate and migrate existing data capabilities into the cloud solution. Implement scalable solutions, review and design processes for new data sources, and liaise with third party providers for data requirements. Collaboration and Processes: Collaborate closely with colleagues to understand and address business requirements. Implement robust quality assurance and data validation processes to ensure that data integrity and quality standards are met. Incorporate core data management competencies including data governance, data security and data quality. Model data requirements, data sources, and data flows to bring order and structure to programmes of work. Benefits: Company pension. Bonus Scheme. Private Medical Insurance. Casual dress. Referral Incentive Scheme. Additional leave Cycle to work scheme On-site parking Work from home Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field. Essential Skills: Strong proficiency in SQL and database development, including complex query optimization and performance tuning. Proficiency in at least one leading business intelligence platform (e.g. Microsoft, Crystal, Qlik, SAP, Tableau). Good understanding of open source, big data, and cloud data platforms (e.g. Hadoop, Spark, Hive, Pentaho, AWS, Azure); given a business problem, you can analyse and evaluate options and recommend solutions. Proven experience in designing, building and maintaining ETL/ELT processes. Demonstrated ability to apply existing knowledge and experience to develop additional skills in new cloud platforms, tooling, and programming languages. Understanding of data modelling and schema design principles. Hands-on experience on at least one modern programming language (e.g. Java, TypeScript, Python). Excellent analytical and problem-solving skills with a keen attention to detail. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Ability to work independently and manage multiple tasks simultaneously in a fast-paced environment. Desired Skills: Proficiency in Python, Flask, Jupiter Notebooks. Proficiency in application development (front-end/UX, APIs, web services). Previous experience in financial services or a regulated industry. In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy.
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients. Our Team: Our Securities Credit Data teams are responsible for the timely and accurate entry of new bonds and loans being brought to market, secondary market review and updates, as well as extensive client facing support. In addition, responsibilities include developing new data pipelines, implementing data validations, reviewing processes for efficiencies, finding opportunities to expand data sets. Our Private Credit team work closely with internal partners including the Engineering, Core Product, News and Enterprise. We are committed to delivering best-in-class quality and improving and expanding our Private Credit offerings through a deep understanding of market dynamics alongside our clients' current and future needs. What's the role? As a Data Engineer for Private Credit, you will use your domain expertise to handle and improve the financial data that feeds Bloomberg products, identify innovative workflow efficiencies, implement technical solutions to enhance our systems, products and processes, and establish links with key players in the financial market. You will be responsible for the data management of publicly filed Private Credit data by BDCs (Business Development Companies) as well as creating pipelines from additional sources, establishing and implementing our automation, data alignment and data quality strategies. You will ensure the best use of our existing Private Credit data as well as leading the technical implementation of on-boarding new datasets. You will use your experience to define what a fit-for-purpose data product looks like. You will work to plan and deliver the data modeling and technology strategy and roadmap which should align to the overall product vision. We'll trust you to: Develop data-driven strategies, balancing the best of technical, product, financial and dataset knowledge, and work with our engineering and product departments to craft solutions Be responsible for the end-to-end data ingestion of Ownership datasets including long positions and short position holdings data, transactional data, and derived datasets such as the free float field Analyze internal processes to find opportunities for improvement, as well as implement innovative solutions Communicate and collaborate across team members and complementary teams including Engineering, Product, Enterprise Data, and News Design data models to create data storage solutions for our raw and enriched data and contribute to our data alignment strategy by following the FAIR data principles Develop data quality strategies for the Ownership datasets and implement scalable, lasting solutions Use data visualization skills to report on results of ongoing operations and projects, as required You'll need to have: Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. 3 years of programming experience in a development and/or production environment Proficiency using scripting languages to build pre-processing services that can be integrated in our data pipelines A proven grasp of data modeling principles and technologies to perform requirements analysis as well as conceptual, logical, and physical modeling Experience profiling new datasets, and implementing high volume, low-latency ETL pipelines Understanding of data quality standard methodologies to improve the value of the dataset Proven track record of effective project management and a customer focused mentality We'd like to see: Advanced degree/Master's degree or equivalent experience in a Finance or STEM subject and/or CFA designation (or working towards it) Familiarity with use cases of sophisticated statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing Experience designing optimal database structures Experience working in an Agile development team Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact or .uk
New opportunity in to join our global offshore energy projects client, as part of it'scentre of excellence for the execution of its largest projects worldwide. Permanent Hire London Department (Risers, Installation Analyses and Umbilical) The role Lead Installation Analysis Engineer you will be responsible for delivering large installation scopes of analysis in Project / Tender / FEED phases. Your main responsibilities will be to: Develop the overall installation analysis scope package, including but not limited to Flexible / Umbilical / Cable Lay, Structure and Mooring installation. Support the in-place analysis scope of static Flexible flowlines and jumpers Coordinate a team of analysis engineers (Typically from 2 to 8) to meet required engineering works, optimisation, workload, schedule etc. Support various training and continuous improvements initiatives such as: Develop internal tools, guidelines, templates and training material Encourage knowledge sharing within the discipline. Support trainees and less experienced engineers Responsibility at the start of the Project / Tender / FEED: Identify the scope of work, specifications, schedule and inter-discipline requirements. Understand project/client expectations and gather applicable past lessons learnt. Identity the required project interfaces and agree on a schedule and resource plan with department managers Organise KOM with the analysis team, installation method team, discipline managers, and project engineering manager. Assist in preparation of estimates for bid proposals, including technical query reviews, execution statements and manhour estimates. Responsibility during the Project / Tender / FEED: Prepare discipline engineering design basis, philosophies, technical specifications, and design reports as required. Perform and review the OrcaFlex analysis confirming it adheres with the agreed design brief and basis. Ensure that QA/QC process is correctly followed in the team. Deliver relevant project Interface and ensure alignment with other design engineering departments, Installation Method Engineers, SPS suppliers, Client, Engineering Managers, and Flexible / Umbilical Engineers. Organise a regular meeting with the analysis team and maintain the action register. Issue regular reporting including document progress, resource mobilization planning, manhour tracking, and ensure technical changes with respect to the base scope are tracked properly. Attend project review meetings, vendor meetings and engineering meetings organised by other disciplines Organise and chair the analysis engineering review (internal and external) Participate in customer and third-party technical audits on engineering deliverables and vendor documents. Your profile Bachelor in Naval Architecture, Mechanical / Structural / Civil / Hydrodynamic engineering. Master's degree or PhD preferred Relevant experience in the oil and gas industry or equivalent, with a preference in EPCI contractor or consultant predominantly performing construction and installation design. High working knowledge of design techniques and installation analysis in OrcaFlex, with an understanding of applicable standard codes (e.g. DNVGL-ST-N001). Experience in developing small engineering teams. Systems where further knowledge is desirable: Naval Architecture. Offshore experience. Python knowledge. Rigid riser design. Flexible pipe and umbilical design. Working Conditions Home office site - Sutton Requirement for some international travel