501 to 525 of 902 Permanent Data Engineering Jobs

Business Intelligence Engineer, AOP Team The role is for 1 year term in Amazon Job Description Are you interested in applying your strong quantitative analysis and big data skills to world-changing problems? Are you interested in driving the development of methods, models and systems for strategy planning, transportation and fulfillment network? If so, then this is the job … for you. Our team is responsible for creating core analytics tech capabilities, platforms development and data engineering. We develop scalable analytics applications across APAC, MENA and LATAM. We standardize and optimize data sources and visualization efforts across geographies, builds up and maintains the online BI services and data mart. You will work with professional software development managers … data engineers, business intelligence engineers and product managers using rigorous quantitative approaches to ensure high quality data tech products for our customers around the world, including India, Australia, Brazil, Mexico, Singapore and Middle East. Amazon is growing rapidly and because we are driven by faster delivery to customers, a more efficient supply chain network, and lower cost of More ❯

for a dynamic, organized, and customer-focused Analytics expert to join our Amazon Prime Analytics team. The team supports the Amazon India Prime organization by producing and delivering metrics, data, models and strategic analyses. This is a highly challenging and make-shift role that requires an individual with excellent team leadership skills, business acumen, and the breadth to work … across multiple Amazon Prime Business Teams, Data Engineering, Machine Learning and Software Development teams. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and a proven ability to work in a fast-paced and ever-changing environment. Key job responsibilities Developing a long term analytical strategy and driving the implementation of that … effectiveness to achieve strategic goals. Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that help shape our business roadmap. Large scale data mining to find trends and problems, then communicate and drive corrective action. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability More ❯

in-category life sciences companies. Flagship Pioneering has created over 100 groundbreaking companies over the past twenty years, all of which are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna (MRNA), Generate Biomedicines, Sana Biotechnology (SANA), Tessera Therapeutics, Evelo Biosciences (EVLO), Indigo Agriculture, Seres Therapeutics … implementing novel machine learning and deep learning methods applied to somatic genomics. This includes identifying research problems that could be addressed through structured or unstructured, complex omics and imaging data and developing appropriate models and analytical solutions. Responsibilities: Develop and implement novel machine learning and deep learning methods to address key challenges in somatic genomics, ranging from imaging data analysis to variant interpretation. Extract research and business value from complex, unstructured somatic genomics data and metadata. Optimize large-scale data preparation, enhance analytics platforms, and industrialize validated analytical methods in collaboration with the data engineering team. Uncover novel biological insights into disease, spanning complex and rare diseases, and develop methods to validate new drug More ❯

You will be joining the innovative Information Security Cybertech Engineering team as a full stack software engineer in a global team responsible for developing web applications (Java/Angular), data engineering (Python) and solutions with third party products. You will be working in a collaborative and inclusive fast-paced environment that leverages agile approaches to deliver solutions … ongoing success while continuously fostering your own personal and professional growth. Responsibilities: Full stack software development and management of the development life cycle. Developing web applications (Java/Angular), data engineering (Python), and solutions with third-party products. Working in a collaborative and inclusive fast-paced environment that leverages agile approaches to deliver solutions quickly. Working directly with More ❯

the right tasks. This role requires the ability to adapt quickly and learn continuously. Primary responsibilities include defining problems, building analytical frameworks to streamline operations, identifying process gaps through data analysis, liaising with relevant teams to address issues, and sharing updates with internal teams. Key job responsibilities Apply multi-domain/process expertise daily and own the end-to … analysis requirements and ensure high-quality execution. Define analytical approaches; review and validate these approaches with stakeholders. Work proactively with stakeholders to construct use cases and standardized outputs. Scale data processes and reports; develop queries for client self-service; collaborate with data engineering for automation. Maintain knowledge of available data for complex or comparative analysis. Utilize … various data sources and develop efficient queries to reduce post-processing. Triangulate data from multiple sources to ensure fidelity when necessary. Manage project timelines and deliverables, focusing on team interactions. Provide program updates to stakeholders. Communicate roadblocks and propose solutions. Represent the team in medium-sized analytical projects and communicate effectively across departments. A day in the life More ❯

home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS BASIC QUALIFICATIONS Background in any of the following: Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps Technical Degree (Computer Science, Maths, Engineering or equivalent) and/or relevant tech experience. Fluent written and verbal communication skills in English A passion … etc.) and/or scripting, Infrastructure as Code etc. In-depth working knowledge in a technology domain such as distributed internet-scale web or mobile applications, DevOps, Serverless, Big Data, Analytics, Machine Learning, enterprise workloads (SAP, VMware, Windows etc.), high-performance databases (SQL and/or NoSQL), complex networking implementations, highly secured workloads etc. Experience working in a customer … success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. More ❯

to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. Key job responsibilities 1) Apply multi-domain … execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs 5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull data from multiple similar sources to triangulate on data fidelity 9) Actively manage More ❯

core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform … action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to … create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to Manager, Field Engineering. The impact you will have: Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers More ❯

of scalable Generative AI solutions. Key Responsibilities: Lead the fine-tuning, distillation, and deployment of LLMs for high-impact use cases in clinical research and commercial life sciences. Drive data engineering processes to convert structured and unstructured data into high-quality, trainable datasets. Design and implement AI agents using IQVIA's Agentic AI framework to enable autonomous … leadership and mentorship to junior scientists and engineers. Serve as a key technical voice in client engagements-translating complex AI concepts into actionable business insights. Collaborate cross-functionally with engineering, product, and domain experts to ensure AI solutions align with customer needs and compliance frameworks. Contribute to publication strategies and represent IQVIA at leading AI/ML conferences (e.g. More ❯

of this our success and help drive our limitless ambitions. About the role We are seeking a talented Lead Business Intelligence Analyst to join our Analytics team within the Data department. This role will have line management responsibilities, and will be responsible for leading the delivery of Business Intelligence across the company. The successful candidate will play a pivotal … role in ensuring that we have the right data, visualisations, insights, and analytics to support the growth of our business. As Lead BI Analyst you will Lead the development and delivery of our Business Intelligence strategy Develop and maintain key BI metrics, dashboards and reports that provide insights across Digital, Finance, Commercial, Supply Chain and other core areas Provide … the business, by imparting knowledge and/or upskilling colleagues on all that is possible through our tools Provide mentorship and coaching to the BI team Work closely with Data Engineering, Customer Insights Data Science and Product Management teams to ensure alignment and collaboration Manage relationships with key stakeholders across the business Who you will work with More ❯

as a Senior Analytics Engineer At Accurx, we are taking the company's self-serving capabilities to the next level and are looking for a talented analytics engineer with data modelling experience to join us!We want our users and everyone at Accurx to have access to the data they need to make data-informed decisions every … day. We can only do that if our data is centralised, clean, and our models are up to gold standards. You'll work closely with your fellow team members in our data functions to ensure that happens and with the wider company to understand stakeholders' pain points when accessing data and propose self-serving solutions. Your day … to day tasks, should you choose to accept this mission You'll maintain the presentation layer of our data warehouse for reporting and analysis, including databases, schemas, views and tables. You'll build well-tested, up-to-date and documented data models that the rest of the company can use to answer their questions. You'll work closely More ❯

empowering people to unlock their digital potential! To get a sneak peek into our culture, find us on Optimizely is seeking an experienced Sales Analytics Lead, to join our Data Services function. This role will be critical to helping optimize our decision-making abilities across the Sales Operations teams. This position will be responsible for leading domain analysis creation … providing best in class insights and proposals for change, designing solutions and working cross-functionally to implement process and change within the organization. Job Responsibilities • Data-Driven Action Requirements: Leverage revenue performance data and AI to identify patterns, drivers, and actionable insights across segments, geographies, products, and channels. • Evaluate funnel performance (lead to cash), identifying friction points and … end of quarter business reviews. • Build and refine predictive and diagnostic models to support forecasting, targeting, and optimization strategies. • Partner with, Marketing, Customer Success and Product teams to implement data-informed actions and measure impact. • Ensure data integrity, relevance, and timeliness by collaborating with data engineering and analytics teams to define and evolve measurement frameworks and More ❯

people to unlock their digital potential! To get a sneak peek into our culture, find us on Optimizely is seeking an experienced Customer Success Analytics Lead, to join our Data Services function. This role will be critical to helping optimize our decision-making abilities across our Customer Success teams. This position will be responsible for leading domain analysis creation … providing best in class insights and proposals for change, designing solutions and working cross-functionally to implement process and change within the organization. Job Responsibilities • Data-Driven Action Requirements: Leverage customer performance data and AI to identify patterns, drivers, and actionable insights across customer health, adoption, satisfaction (e.g. NPS/CSAT), Ideal Customer Profile (ICP) and churn risk …/input required for board decks and end of quarter business reviews • Support business modelling of the professional services organization through the transition to a subscription services model • Provide data-driven insights to guide customer success strategies, renewals, upsells, and proactive engagement • Build and refine predictive and diagnostic models to support forecasting, targeting, and optimization strategies. • Partner with, Sales More ❯

A leading Financial Services client in London is undergoing a major data transformation and is hiring a Data Engineering Manager on a permanent basis. The role offers a base of £85,000, strong benefits, and flexible hybrid/remote working. We’re looking for a hands-on leader from a forward-thinking, modern data environment with … a strong foundation in Data Engineering and experience managing a squad of 4–7 Data Engineers. You’ll bring solid SQL skills, cloud expertise (preferably Azure), and familiarity with tools such as Snowflake, Databricks, ADF, Python, and GenAI. You’ll manage a squad of engineers and play a key role in delivering scalable, modern data solutions … as part of a group-wide transformation. Requirements: Proven experience in fast-paced environments working with modern data architectures and tooling; Financial Services experience is a plus. Experience managing Data Engineering teams Strong SQL and cloud skills (Azure preferred) Familiar with modern data tools (e.g. Snowflake, Databricks, ADF, Python) Track record of building/maintaining robust More ❯

A leading Financial Services client in London is undergoing a major data transformation and is hiring a Data Engineering Manager on a permanent basis. The role offers a base of £85,000, strong benefits, and flexible hybrid/remote working. Were looking for a hands-on leader from a forward-thinking, modern data environment with a … strong foundation in Data Engineering and experience managing a squad of 47 Data Engineers. Youll bring solid SQL skills, cloud expertise (preferably Azure), and familiarity with tools such as Snowflake, Databricks, ADF, Python, and GenAI. Youll manage a squad of engineers and play a key role in delivering scalable, modern data solutions as part of a … group-wide transformation. Requirements: Proven experience in fast-paced environments working with modern data architectures and tooling; Financial Services experience is a plus. Experience managing Data Engineering teams Strong SQL and cloud skills (Azure preferred) Familiar with modern data tools (e.g. Snowflake, Databricks, ADF, Python) Track record of building/maintaining robust data pipelines Agile More ❯

A leading global technology and consulting firm is seeking a talented data engineering consultant to join its team. As a pioneer in digital transformation, they're at the forefront of innovation, and you'll be instrumental in driving client success. Why Join Them? Be part of a global team driving industry innovation. Access to world-class training and … development opportunities. Enjoy a fulfilling career with a work-life balance. Contribute to projects with a positive societal impact. What You'll Do: Design and implement cutting-edge data architectures. Collaborate with clients to deliver tailored data-driven solutions. Stay at the forefront of emerging data technologies and trends. Mentor and develop team members. Contribute to business … growth initiatives. About You: A proven track record in delivering complex data-driven projects within consulting. Exceptional analytical and problem-solving skills to extract actionable insights. Strong communication and stakeholder management for effective collaboration. Advanced knowledge of modern data architectures (data lakes, data warehouses, data mesh). Proficiency in cloud platforms (GCP, AWS, Azure) and More ❯

edge generative AI models designed to power Superbowl-worthy commercials and award-winning cinematic experiences. Our inaugural, cutting-edge HD model, Marey, is built on exclusively licensed and owned data for professional use in Hollywood and enterprise applications. Our team is an unprecedented convergence of talent across industries. Our elite AI scientists from Deepmind, Google, Microsoft, Meta & Snap, have … we've raised over $70M from world-class investors including General Catalyst, Bessemer, Khosla Ventures & YCombinator - and we're just getting started. Role Summary: We're looking for a Data Engineering Lead to architect and scale the data pipelines that power our next-generation generative video models. This role is central to our mission of training models … exclusively on clean, high-quality data . You will lead the design of data ingestion pipelines, data annotations, and high-throughput, distributed systems that support large-scale data processing and curation. You'll work closely with researchers, engineers, and infrastructure teams to ensure that our data pipeline is not just performant, but trusted, traceable, and More ❯

Data Platform Engineering Manager The role We are looking for a Data Platform Engineering Manager to join our Data Platform Engineering team which sits under Tech and Data. Who are we? Our mission is to build the place where small businesses get the funding they need to win. We do this by uniting cutting … edge data and technology to deliver an unbeatable customer experience. With a decade of expertise under our belt, we've built a game-changer of a platform that's reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can get an instant decision, giving … finance they need to grow. We're here to change that because the world needs small business. The role Team Leadership & Management: Lead, manage, and mentor a team of data platform engineers, fostering a collaborative, innovative, and inclusive team culture. Oversee the recruitment, onboarding, and performance management processes for the team. Set clear goals and expectations, providing regular feedback More ❯

Job Function: Information Technology Working Hours: 37 Location Type: Office Based Contract Type: Permanent Why You'll Love This Job We're transforming how we think about and use data, and you'll be part of the engine room. This is your chance to work with modern tools in a cloud-first, agile environment, develop your skills alongside experienced … engineers and architects, create real business impact through smarter data design, be part of a positive, inclusive, forward-thinking culture, and help drive the energy transition for the UK. Code & create - Develop complex SQL and ABAP CDS views for analytics and reporting Transform & optimise - Use PySpark and Databricks to manipulate big data efficiently Automate & schedule - Manage workflows, jobs … and clusters for scalable data processing Collaborate & deliver - Engage across agile teams to build high-impact solutions What You'll Bring You're curious, collaborative, and deeply technical. You love solving complex problems and transforming raw data into structured insights. Experience in building data pipelines and models in SAP Datasphere or SAP BW4/Hana Advanced skills More ❯

Interim Data Scientist Outside IR35 Farringdon, London Until the end of the year (likelihood of extension) Are you passionate about seizing the opportunities that big data brings to the mobility industry? Join us as an InterimData Scientist at Toyota Connected Europe. We are a new company created to bring big data into various aspects of mobility. You … will leverage telematics data from vehicles to build models for B2B and B2C mobility solutions. By doing so, you will make user experience more fun, efficient and safe. You will be joining us at the beginning of TCEU's journey of building our team and products. This is an opportunity to have significant impact and voice, and co-define … the future of data science in the mobility industry. It also means that the role will suit a self-starter with ownership mentality, who is flexible andadaptable to change. What would you be doing? Act as a Data Science SME - Lead the design and implementation of modelling solutions, advising teams on feasibility, trade-offs, and impact Develop predictive More ❯

London, England, United Kingdom Software and Services Description Dive deep into large-scale data to uncover trends and identify key insightsPartner with data engineers and project managers to conduct data investigation analysisBuild and automate dashboards used to present key insights to partnersCollaborate with researchers and machine learning engineers for building data science and machine learning solutions … such as anomaly detectionFacilitate cross-functional discussion to find out what is the right technical resolution to the business problems Minimum Qualifications 5+ years in an analytics or data engineering role Background in data analytics, proficient in SQL or Python Pandas Experience with data visualization tools, such as Tableau, GGplot, Keynote etc Fundamental understanding of statistical … analysis, forecasting and modeling Preferred Qualifications Experience in coding for automation (e.g. Scala, Python, Java etc.) Familiarity with writing data pipelines using one or more big data technologies (e.g. Spark, Hive, Trino, Flink, Airflow etc.) Familiarity with modern cloud technologies such as Kubernetes Familiarity with software development lifecycle for data science and engineering Familiarity with commerce More ❯

Senior Data Scientist - London - £75,000 Are you an experienced data scientist who has also been exposed to engineering? Then this could be the role for you... I'm looking for a data scientist who is skilled in cloud-based infrastructure including AWS and Azure, has experience in SQL and an understanding of coding. You will … be leading client projects as well as assessing their business needs identifying opportunities for data science to be used. Managing client and stakeholder relationships appropriately. As such, we are looking for a leader who can deliver a range of projects including data analytics, data science and data engineering whilst using appropriate technologies e.g. (Python). More ❯

ClearanceJobs' client, a government contractor, is looking to hire a Data Engineer on a full-time, permanent basis. This position must be performed onsite in Tysons Corner, VA and requires an active Secret security clearance (minimum). After a probationary period, this opportunity also offers flexibility to work a hybrid schedule. About the Role: We are seeking a motivated … and detail-oriented Data Engineer to support our team. This role is ideal for candidates with a solid foundational knowledge of computer systems engineering and a passion for growing their skills in big data and cloud technologies. You will be working in a team of data engineering specialists, contributing to the development and maintenance of … advanced data pipelines and supporting various analytical initiatives. Responsibilities: • Assist in the development and maintenance of data pipelines using Spark, Scala, PySpark, and Python. • Support the deployment and management of AWS services including EC2, S3, and IAM. • Work with the team to implement and optimize big data processing frameworks such as Hadoop and Spark. • Help with the More ❯

Job Overview: Lead the implementation of the organization's Data Mesh architecture, focusing on decentralized, domain-oriented data management to enhance data quality, accessibility, and interoperability across CJIS systems. Required Security Background: Active Secret Facility Clearance required at the time of application Eligibility to obtain and maintain FBI security clearance Willingness to sign a Non-Disclosure Agreement … and Warrantless Search Agreement Required Experience: 8+ years in designing and implementing data architectures, including data lakes, warehouses, and mesh frameworks 5+ years with cloud-based data platforms (AWS, Azure, Google Cloud) 2+ years leading and mentoring data engineering teams Experience with AWS services (S3, Redshift, Glue, Lake Formation, Lambda) Developing and maintaining ETL pipelines … Implementing data governance frameworks Preferred Experience: Experience with FBI or DOJ systems Criminal justice information systems Data mesh principles in government environments Data security compliance for law enforcement Education: Bachelor's or Master's in Computer Science, Information Systems, Data Engineering, or related field Relevant certifications in data management, cloud platforms, or data More ❯

Azure Data Engineer Manchester Up to £65k On behalf of our industry-leading client, we are recruiting for a talented Azure Data Engineer. As Azure Data Engineer, you will be working closely with Data Engineering, Business Services, and Technical Partners to create and integrate Azure Data Engineering pipelines transforming core systems data into knowledge. The Azure Data Engineer will be responsible for: Working with other members of the Data Engineering team, you will actively participate in the design and development of processes and technologies that support secure and efficient data ETL, connecting to a variety of on- and off-premises data sources Ensure data is … cleansed, mapped, transformed, and otherwise optimized for storage, and to meet requirements for business and technical use cases Apply business and logic rules to derive insight from company data, and deliver these in real-time to the quote rating engine Generate and schedule data enrichment processes Develop effective, scalable solutions that can be efficiently tested, deployed, updated, maintained More ❯