73 Data Engineer jobs

About Us At Cloudflare, we have our eyes set on an ambitious goal: to help build a better Internet. Today the company runs one of the world’s largest networks that powers approximately 25 million Internet properties, for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.   We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves...

We’re building the next generation of capital markets technology. Global capital markets are an ocean of fast-moving, interrelated and complex data. We are looking for passionate and enthusiastic problem-solvers with expertise in capital markets data to join us as we continue providing technology innovation and support to the world’s leading global capital markets companies. Current strategic pursuits The Data Engineer will be responsible for data processing pipelines. We have the mission of "Capturing, Storing and Transforming" the world's market data.  Our data team manages the data pipelines that flow between each of those stages. The role has a large operational component while also requiring someone to envision future growth in both utilization and technology selection for the components of the work. Work qualifications Significant experience with Python and ability to write and maintain object-oriented Python applications...

Overview We deal with text, we find algorithmic solutions to complex textually based problems, from the initial idea and a PoC, all the way to production. We build NLP solutions in areas such as entity extraction, relation extraction, text categorization, text summarization, sentiment analysis and more. In addition, we create tools for professionals to build their own NLP solutions. We use solutions of different complexity to solve our problems efficiently and with high quality, from basic ones to state-of-the-art ones. We have a super positive and constructive atmosphere. We have access to lots of high-quality data such as: News, financial, social media and more... Essential Day-To-Day responsibilities : The job will include analysing complex textually based problems and finding algorithmic solutions to them, while taking into consideration performance, scalability and robustness. Build machine learning models for various NLP tasks. Tune machine learning...

Position Summary The candidate will work along with other data scientists and analysts to develop products that generate key insights on industry trend by applying various machine learning and data science techniques on proprietary as well as open data sources. The person will need to coordinate with Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline. Duties and responsibilities Drive complex analytical projects by leading and participating in tasks that use advanced statistical modeling and machine learning techniques Apply knowledge of various machine learning techniques and best practices in data science to improve exiting analytics products or develop new products Work with business stakeholders and product managers to deliver outstanding products that exceed customer expectations Handle project management and stakeholder management activities and take full...

Position Summary The candidate will work along with other data scientist and analysts to develop products that generate key insights on industry trend by applying various machine learning and data science techniques on proprietary as well as open data sources. The person will need to coordinate with Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline. Duties and responsibilities Drive complex analytical projects by leading and participating in tasks that use advanced statistical modeling and machine learning techniques Apply knowledge of various machine learning techniques and best practices in data science to improve exiting analytics products or develop new products Work with business stakeholders and product managers to deliver outstanding products that exceed customer expectations Handle project management and stakeholder management activities and take full...

WE ARE LOOKING FOR A NEW COLLEAGUE: Data Scientist WHY IS THIS JOB IMPORTANT? This role would be pivotal for the Process Management and Transformation group which is responsible for leading & implementing Transformation Projects/Programs across World-Check (WC), Refinitiv Due Diligence (RDD), and Screening Resolution Service (SRS). The team handles the core systems change management, drives lean culture across the Customer & 3rd Party Risk Solutions, content management for RDD, as well as client analysis, policy, and technology requirements from the process efficiency perspective. As a Data Scientist you'll have to work closely with to the various Risk business functions to ensure activities deliver maximum value to both the company and their customers. Duties include research, analysis,  design, development, testing, installation, modification, and maintenance of engineered information systems, containing software as the major component to meet agreed business...

About Clear Street:  Clear Street is building modern infrastructure for capital markets. Founded in 2018 by top Wall Street and Silicon Valley veterans, Clear Street is an independent, non-bank prime broker designed to solve the industry’s most neglected problem: legacy technology. We have built a proprietary, cloud-native clearing and custody system from the ground floor to replace the outdated infrastructure used across capital markets. Our platform is fully integrated with central clearing houses and exchanges to support billions in trading volume per day. We’ve agonized about our data model abstractions, created horizontal scalability, and crafted thoughtful APIs. All so we can provide a best-in-class experience for our clients.  By combining highly-skilled product and engineering talent with seasoned finance professionals, we’re building the essentials to compete in today’s fast-paced markets. The Role:  As an experienced Data Engineer on our Operations...

About Clear Street:  Clear Street is building modern infrastructure for capital markets. Founded in 2018 by top Wall Street and Silicon Valley veterans, Clear Street is an independent, non-bank prime broker designed to solve the industry’s most neglected problem: legacy technology. We have built a proprietary, cloud-native clearing and custody system from the ground floor to replace the outdated infrastructure used across capital markets. Our platform is fully integrated with central clearing houses and exchanges to support billions in trading volume per day. We’ve agonized about our data model abstractions, created horizontal scalability, and crafted thoughtful APIs. All so we can provide a best-in-class experience for our clients.  By combining highly-skilled product and engineering talent with seasoned finance professionals, we’re building the essentials to compete in today’s fast-paced markets. The Role:  As an experienced Data Engineer on our Operations...

Senior Data Engineer About Us LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years.  Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin...

End Date Thursday 15 June 2023 Salary Range £52,912 - £85,982 We support agile working – click here for more information on agile working options. Agile Working Options Other Agile Working Arrangements / Open to Discussion Job Description Summary . Job Description Salary: £52,500 to £72,500 depending on experience plus annual personal bonus, 15% employer pension contribution (when you put in 6%), 4% flexible cash pot, private medical insurance, 30 days holiday plus bank holidays. We also offer flexible working hours, agile working practices and regular home working.  We aim to ensure you have a good work-life balance and positive mental health. Who? Lloyds Banking Group is the UK’s leading digital franchise, with over 13 million active online customers across our three main brands - including Lloyds Bank, Halifax and Bank of Scotland - as well as the biggest mobile bank in the country. We're building the bank of the future, and we need your help....

Optiver is looking for a Data Engineer to join our Systematic Trading team. This opportunity will allow you to be at the forefront of our research process, harnessing the power of data to drive our trading strategies. We are seeking a pragmatic problem solver who possesses a proven track record in handling vast datasets. Who we are: Optiver is a tech-driven trading firm and leading global market maker. As one of the oldest market making institutions, we are a trusted partner of 70+ exchanges across the globe. Our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. Optiver Chicago’s culture parallels the energetic city we’re immersed in. Home to the Chicago Board of Trade, Chicago Board Options...

The Tech Data Solution team is part of Product Securities, CaLM & Unavista (LSEG-LCH) covering Business Analytics for Commercial Data initiatives across LCH and Unavista. The team is responsible to design, develop and deploy end-to-end solutions in order to generate value added by leveraging on data. We are looking for a Cloud Data Architect to help shaping the future of the Data Product analytics & solutions. In this role you will work closely with Risk, Product Managers and Specialists in order to design, develop and productionise a wide set of applications for data analytics purposes. Within our team, we have a strong culture of data-driven decision making and analytics. We work in cross-functional squads where each team member is fully embedded into the wider Data Product  workstream making our team a truly collaborative and innovative environment. Enter the key responsibilities of the role: Role Responsibilities Experience with modern cloud platforms...

Senior Data Engineer - Economics & Country Risk The Team: Building on our unrivaled coverage of the economic, industry and risk landscape, we enable clients - large and small - to identify growth, plan accurately and navigate uncertainty. We partner with companies to help them identify new trends, size growth opportunities, monitor risk and opportunity ratios, conduct market assessments, plan for alternate scenarios, and secure their business continuity. Our solutions enable clients to better allocate resources, capitalize on change and build an integrated, enterprise-wide approach to economics and risk. Responsibilities: This is a key technical role in the development and maintenance of data models and pipelines. Our current work sits at the intersection between economics, country risk, supply chain and geo-spatial applications. We build robust predictive models using the latest techniques in statistics, econometrics, and data science. You will be...

Key Responsibilities: Work together with other developers, business analysts and product owners to ensure that new or modified HANA and ETL applications are developed using industry standard best practice design and development practices Contribute to the development, delivery and maintenance of solutions based on the latest SAP technology Design and develop optimal code to maintain exceptional performance in processing large volumes of data across diverse sources Build solutions using native HANA ecosystem and components Design, develop and test data models and ensure that data is correctly loaded into the system HANA performance analysis and performance optimization Develop SAP HANA information models (Graphical and SQL based Calculation views) for analysing data and generating reports Defining and maintaining robust and scalable ETL to manage data according to formal concepts, principles, and techniques Design and develop scalable, reusable...

Job Overview We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. Responsibilities for Data Engineer Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual...

At Coinbase, our mission is to increase economic freedom around the world , and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us. There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all...

We’re building the next generation of capital markets technology. Global capital markets are an ocean of fast-moving, interrelated and complex data. We are looking for passionate and enthusiastic problem-solvers with expertise in capital markets data to join us as we continue providing technology innovation and support to the world’s leading global capital markets companies. Current strategic pursuits The Data Engineer will be responsible for data processing pipelines. We have the mission of "Capturing, Storing and Transforming" the world's market data.  Our data team manages the data pipelines that flow between each of those stages. The role has a large operational component while also requiring someone to envision future growth in both utilization and technology selection for the components of the work. Work qualifications Significant experience with Python and ability to write and maintain object-oriented Python applications...

As Technical Lead Data Engineer you will be the key operational and hands-on technical lead to shape and drive a data platform strategy execution across all areas of the Post Trade business as part of LCH Shared Services. You will be responsible for contributing to future architectural decisions, including a Cloud data strategy, data warehouse modernisation and data delivery platform. Key Responsibilities Acts as technical lead for a team of engineers supporting the full software development life cycle Mentors more junior team members and acts as a go-to person for technical and non-technical issues Makes technical design decisions and is able to manages high-workloads Maintains and designs infrastructure services, designs/implements microservices and serverless components Develops scripts which automate routine tasks related to infrastructure and server management. Creates and maintains Jenkins/GitLab data pipelines, AWS/Azure services, Snowflake data...

Senior Data Engineer About Us LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years.  Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin...

The Tech Data Solution team is part of Product Securities, CaLM & Unavista (LSEG-LCH) covering Business Analytics for Commercial Data initiatives across LCH and Unavista. The team is responsible to design, develop and deploy end-to-end solutions in order to generate value added by leveraging on data. We are looking for a Cloud Data Architect to help shaping the future of the Data Product analytics & solutions. In this role you will work closely with Risk, Product Managers and Specialists in order to design, develop and productionise a wide set of applications for data analytics purposes. Within our team, we have a strong culture of data-driven decision making and analytics. We work in cross-functional squads where each team member is fully embedded into the wider Data Product  workstream making our team a truly collaborative and innovative environment. Enter the key responsibilities of the role: Role Responsibilities Experience with modern cloud platforms...