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Job Description: Job Title: Lead Business Functional Analyst - Strategic Data Archive Onboarding Engineer Location: Birmingham Corporate Title : Assistant Vice President Strategic Data Archive is an internal service which enables application to implement records management for regulatory requirements, application decommissioning, and application optimization. You will work closely with other teams providing hands on support onboarding by helping them define record content and metadata, configuring archiving, supporting testing and creating defensible documentation that archiving was complete. You will need to both support and manage the expectations of demanding internal clients. What we'll offer you A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That's why we are committed to providing an environment with your development and wellbeing at its centre. Hybrid Working We understand that employee expectations and preferences are changing. We have implemented a Hybrid Working Model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them. You can expect: Competitive salary and non-contributory pension 30 days' holiday plus bank holidays, with the option to purchase additional days Life Assurance and Private Healthcare for you and your family A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits The opportunity to support a wide ranging CSR programme 2 days' volunteering leave per year Your key responsibilities Provide responsive customer service helping internal clients understand and efficiently manage their records management risks Explain our archiving services (both the business value and technical implementation) and respond promptly to inquiries Support the documentation and approval of requirements including record content and metadata Identify and facilitate implementing an efficient solution to meet the requirements Manage expectations and provide regular updates- frequently to senior stakeholders Configure archiving in test environments- will not be coding new functionality but will be making configuration changes maintained in a code repository and deployed with standard tools Your skills and experience Bachelor's Degree from an accredited college or university Experience implementing IT solutions in a global financial institution in a client-facing role Experience with relational databases, SQL and JSON Desire and ability to learn new skills as required (e.g., Google Cloud Suite) Financial markets knowledge a plus while curiosity a requirement How we'll support you Training and development to help you excel in your career Flexible working to assist you balance your personal priorities Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see who we are and more. Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer. We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation. Visit Inside Deutsche Bank to discover more about the culture of Deutsche Bank including Diversity, Equity & Inclusion, Leadership, Learning, Future of Work and more besides.
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
Hutchison Ports have an exciting opportunity for a Data Engineer to join the team. Location: Felixstowe, Suffolk Salary: £59,675 per annum (depending on skills and experience) Job Type: Full time, Permanent About Us: The Port of Felixstowe is Britain's biggest and busiest container port, and one of the largest in Europe. The port handles more than 4 million TEUs (Twenty-foot Equivalent Units) and welcomes approximately 3,000 ships each year, including the largest container vessels afloat today - crucially, the port provides some of the deepest water close to the open sea of any European port. Around 17 shipping lines operate from Felixstowe, offering 33 services to and from over 700 ports around the world. Together with its unrivalled rail and road links connecting the port to distribution hubs in the Midlands and elsewhere in the UK, Felixstowe plays a pivotal role in keeping the UK's trade moving, and delivers real benefits to customers, the community and the industry. Data Engineer - The Role: The Data Engineer is a newly created role, which will play a key part in feeding the business data growing needs both nationally and internationally. You will be expected to identify, create, maintain, optimise and redevelop SQL tables, procedures and ETL algorithms both new and legacy. The role will involve supporting business data-driven transformation by creating robust data extraction and transformation procedures, providing consistent information on a timely manner, creating new data sources, and extracting new information out of existing or new systems and document source-to-target mappings where required. Data Engineer - Key Responsibilities: Identify, create, maintain, optimise and redevelop SQL tables, procedures and ETL algorithms both new and legacy Providing data to the different business areas in a fast-paced, but consistent and accurate manner Automate existing processes to streamline and optimize team's workload and the business as a whole Work with areas of the business and external suppliers to ensure the most effective means of storing, processing and utilising key data Develop and exploit new technologies to the fullest potential through working pro-actively with other teams in the business (e.g. IT and the wider Hutchison Port Holdings group) Data Engineer - You: Essential: Strong computer & numerical ability communication skills (data) to translate technical concepts into non-technical language In-depth knowledge in the application of Data Engineering tools and techniques and integration in accordance with defined standards Experience of using Microsoft SQL Server, Oracle and Database Management Proven experience in handling large datasets using SQL and databases in a business environment Knowledge in the use, design and implementation of MI Systems and BI Tools Proficiency in Data Engineering tools and techniques in accordance with defined standards Capable of communicating technical information to non-technical stakeholders; internal and external stakeholders Desirable: Graduate level in Computer Science or related field is desirable. Post-Graduate level preferred Previous Experience working as a Data Engineer or the ability to prove one's capabilities in the topic desirable Knowledge on App development and integration, version control and DevOps Knowledge on Python, Java and Object-Oriented Programming Data Engineer - Benefits: 24 days annual leave bank holidays Generous Pension Contribution & Life Cover Private Health Care Company-wide Mobile Discounts Discretionary Bonus Enhanced Maternity/ Paternity Pay Cycle to Work Scheme Employee Assistant Programme Long Service Awards Diversity & Inclusion Initiatives Employer Supported Volunteering Programme To submit your application for this exciting Data Engineer opportunity, please click 'Apply' now.