Junior Data Consultant Jobs

RDQ327R178 At Databricks, we design tools that make complex data workflows intuitive and powerful. Our mission is to simplify how data is connected, understood, and activated so that organizations can turn information into business outcomes. Designers at Databricks blend strong visual craft with systems thinking, shaping products that support some of the most advanced data teams in the world. We're hiring a Staff Product Designer to help build a new product category at Databricks. You will help shape agent-driven experiences that make the power of the Lakehouse accessible to a broader set of users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. The impact you will have Drive key product and design initiatives within a strategic new product area at Databricks, helping organizations activate and operationalize their data at scale. Define a new generation of agent-driven workflows that help users move seamlessly from data and insights to decisions and action. Collaborate closely with product management, engineering, and leadership to shape the future of business applications on the Databricks platform. Design intuitive user experiences that simplify complex workflows while preserving the flexibility and power required by enterprise organizations. Develop a deep understanding of Databricks business objectives, customer needs, emerging AI capabilities, and the evolving data and technology landscape. Conduct user research to identify customer needs, pain points, and opportunities related to data activation, and AI-assisted workflows. Mentor junior designers, fostering their growth and development within our team. What we look for 8+ years of product design work experience A bachelor's or master’s degree in design, computer science, human-computer interaction, or related field Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeh

P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have: Solve real business needs at large scale by a

P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have: Solve real business needs at large scale by a

P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have: Solve real business needs at large scale by a

P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have: Solve real business needs at large scale by a

P-1492 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale. The Role : We are seeking a highly skilled and experienced Senior Software Engineer with a deep understanding of low-level systems to join our team. In this role, you will be instrumental in designing, developing, and optimizing application frameworks that form the building blocks for all software development at Databricks. This is not a full-stack role; your expertise will be focused on the intricate details of system internals, performance, and efficiency. What we look for : Design, implement, and maintain core system infrastructure and low-level software components. Optimize system performance, reliability, and scalability through meticulous analysis and innovative solutions. Work with JVM internals, memory management, concurrency, and distributed systems. Collaborate with other senior engineers and architects to define technical strategies and roadmaps. Mentor junior engineers and contribute to a culture of technical excellence. Participate in code reviews, design discussions, and architectural decision-making. Troubleshoot complex system issues and provide effective resolutions. Qualifications Bachelor's or Master's degree in Computer Science

P-926 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. The Role : We are seeking a highly skilled and experienced Senior Software Engineer with a deep understanding of low-level systems to join our team. In this role, you will be instrumental in designing, developing, and optimizing application frameworks that form the building blocks for all software development at Databricks. Your expertise will be focused on the intricate details of system internals, performance, and efficiency. What we look for : Design, implement, and maintain core system infrastructure and low-level software components. Optimize system performance, reliability, and scalability through meticulous analysis and innovative solutions. Work with JVM internals, memory management, concurrency, and distributed systems. Collaborate with other senior engineers and architects to define technical strategies and roadmaps. Mentor junior engineers and contribute to a culture of technical excellence. Participate in code reviews, design discussions, and architectural decision-making. Troubleshoot complex system issues and provide effective resolutions. Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. 7+ years of professional experience in software development. Deep understanding of Java Virtual Machine (JVM) internals, including garbage collection, JIT compilation,

*]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:1d11c88f-eb89-48a7-ad60-a006409cea83-5" data-testid="conversation-turn-12" data-scroll-anchor="true" data-turn="assistant"> Job Title: Paediatric Speech and Language Therapy Assistant Banding: Band 4 Location: Yateley, Hampshire Start Date: ASAP Working Hours: Full-time / Part-time Salary: £24,000–£27,000 per annum Job Overview We are seeking a dedicated and compassionate Paediatric Speech and Language Therapy Assistant to join our multidisciplinary team at a dynamic, nurturing independent special school in Yateley, Hampshire. The school caters to pupils aged 2 to 19 with a wide range of needs, including speech, language, and communication difficulties, autism spectrum conditions, and social, emotional, and mental health needs. Additionally, the role involves working at a nearby junior setting (Years 3–6) that employs a multisensory, holistic approach to learning, with strong connections to nature, sustainability, and real-world themes. As a Therapy Assistant, you will work closely with qualified Speech and Language Therapists to support the delivery of therapy interventions, helping students achieve their full potential in a supportive educational environment. Key Responsibilities In this role, you will: Assist in delivering individual and group therapy sessions under the guidance of qualified therapists. Implement therapy interventions and produce resources to support students' communication development. Develop therapeutic relationships with children to encourage engagement and progress. Monitor student progress and provide feedback to therapists and educational staff. Liaise with parents and school staff regarding children's needs and progress. Maintain accurate and confidential records of therapy sessions and student progress. Contribute to the prepar

P- 1430 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Staff Software Engineer , you will build customer facing workflows, work with your platform team and product management to have self-serve onboarding of product teams. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. The Impact you will have Build Simple workflows to cover multiple user journeys in Databricks Control Plane Build a Self Serve and modular UI flows to help various product teams in databricks to build standard customer user journeys. Collaborate with global, cross-functional teams, including product management, backend engineers, to deliver high-quality software. Participate in the planning and execution of complex projects involving multiple teams and stakeholders. Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs. Provide a great SQL-centric data exploration and dashboarding experience on Databricks Work in an interactive environment for collaborative data projects at massive scale with an easy path to production. Mentor / groom junior full stack engineers What We Look For: 10+ years of industry experience Experience leading large multi-q

P-1416 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey. As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization The responsibilities you will have: Drive requirements clarity and design decisions for ambiguous problems Produce technical design documents and project plans Develop new features Mentor more junior engineers Test and rollout to production, monitoring. What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Are comfortable working towards a multi-year vision with incremental deliverables Be customer-oriented and focused on having an impact 7+ years of experience working in a related system Optional: PhD in databases or distributed systems About Dat

P-1415 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey. As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization The responsibilities you will have: Drive requirements clarity and design decisions for ambiguous problems Produce technical design documents and project plans Develop new features Mentor more junior engineers Test and rollout to production, monitoring. What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Are comfortable working towards a multi-year vision with incremental deliverables Be customer-oriented and focused on having an impact 5+ years of experience working in a related system Optional: PhD in databases or distributed systems About Dat

P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have: Solve real business needs at large scale by a

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Job Title - Planning Manager - Data Center Project Location: Mumbai, India Job Summary: JLL is seeking an experienced Planning Manager to oversee Planning and Scheduling for Data Center Project Mumbai. The successful candidate will play a crucial role in ensuring the timely and efficient execution of this complex project. Key Responsibilities: Develop, maintain, and update comprehensive project schedules using industry-standard software Coordinate with various stakeholders to gather and integrate schedule information Monitor project progress and identify potential delays or conflicts Analyze schedule variances and recommend corrective actions Prepare and present regular progress reports to project management and clients Assist in resource allocation and optimization across project phases Collaborate with the project team to develop and implement risk mitigation strategies Ensure adherence to contractual obligations and project milestones Support the change management process by assessing schedule impacts of proposed changes Mentor and guide junior planning staff Requirements: Bachelor’s degree in Civil Engi

Senior Staff Software Engineer About Druva: Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . About Role: This role will be with Cloud Apps Org in Hyderabad, responsible for building key SaaS and Identity workloads. This team is responsible for providing architectural components for supporting core operations of multiple SaaSApps workloads. As a Senior Staff Software Engineer in the platform team, you will be responsible for the design and implementation of software modules owned by a team. Your primary focus will be on the development of all backend server-side components and ensuring high performance and responsiveness from the front end. You will guide and mentor junior team members by reviewing their code and designs to ensure that they are writing well designed and high-quality code. This role requires excellent communication skills as you will need to collaborate across teams. Key Skills 6 – 9 years of experience, preferably in a product company. Extensive hands-on experience in Go/Python/C/C++/Java or any other Object-Oriented Language Excellent programming skills along with Data structures, Algorithms, Design Concepts Strong experience in working with SoA (Service

CSQ128R175 As a Senior Engagement Manager at Databricks, you will play a critical role in leading and scaling the Forward Deployed Engineering (FDE) motion across a Business Unit or region. This position is ideal for someone who has been hands-on with data and AI technologies, understands architecture and delivery deeply, and now wants to transition into a customer-facing, sales-aligned leadership role. You will act as a trusted advisor to executives and a strategic partner to account teams, combining technical credibility with commercial impact. This quota-carrying role goes beyond managing individual engagements — you will embed FDE into Databricks’ broader platform growth, ensuring our customers achieve measurable business value from their investments. The impact you will have Lead the Forward Deployed Engineering motion in your region, aligning closely with Sales, Delivery, and Field Engineering leadership. Drive adoption and expansion by positioning and selling standard and customized Forward Deployed Engineering and training offerings from discovery through closing. Integrate services into platform deals, ensuring customers achieve measurable business outcomes. Act as the technical-commercial bridge: leverage your technical background to engage in architecture discussions, scope solutions, and guide customers toward successful implementations. Shape account strategies by aligning service offerings with client goals, transformation roadmaps, and long-term success. Collaborate with partners (GSIs, RSIs, cloud providers) to co-sell, develop joint account strategies, and deliver integrated services. Bring industry expertise to conversations with customers, demonstrating the art of the possible, creating demand, and building credibility as a trusted advisor. Demonstrate technical depth on Databricks and data/AI platforms to scope engagements, support solutioning, and lead technical conversations. Coach and mentor junior Engagement Managers, supporting peer developm