At Databricks, our 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 … will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics … architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. What More ❯
knowledge and best practices across the wider Professional Services team Own OKRs for revenue and utilization, with a focus on driving customer outcomes and Databricks consumption Raise awareness and be a thought leader in the market by speaking at Databricks and other key ML events Lead Databricks cultural values by … example and champion the Databricks brand What we look for: Extensive experience managing, hiring, and building a team of motivated data scientists/ML engineers, including establishing programs and processes Deep hands-on technical understanding of data science, ML, GenAI and the latest trends While managers do not directly deliver … learning, and driving business value through ML Company first focus and collaborative individuals - we work better when we work together. Preferred Experience working with Databricks and Apache Spark Preferred Experience working in a customer-facing role About DatabricksDatabricks is the data and AI company. More than 10,000 organizations More ❯
in our Professional Services team, you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help … a customers' successful understanding, evaluation, and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect, and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with … Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best More ❯
At Databricks, our 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 … 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 … 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 in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion More ❯
knowledge and best practices across the wider Professional Services team Own OKRs for revenue and utilization, with a focus on driving customer outcomes and Databricks consumption Raise awareness and be a thought leader in the market by speaking at Databricks and other key ML events Lead Databricks cultural values by … example and champion the Databricks brand What we look for: Extensive experience managing, hiring, and building a team of motivated data scientists/ML engineers, including establishing programs and processes Deep hands-on technical understanding of data science, ML, GenAI and the latest trends While managers do not directly deliver … learning, and driving business value through ML Company first focus and collaborative individuals - we work better when we work together. Preferred Experience working with Databricks and Apache Spark Preferred Experience working in a customer-facing role About DatabricksDatabricks is the data and AI company. More than 10,000 organizations More ❯
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering … teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the … growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you More ❯
we do every day at Databricks. As a Global Account Manager for BP plc, you will be responsible for driving the strategic relationship between Databricks and BP, ensuring the successful adoption and expansion of Databricks solutions within BP's global operations. You will work closely with BP's key stakeholders … to understand their business needs and challenges and leverage Databricks' technology to deliver impactful solutions. The impact you will have: Develop and execute a strategic account plan for BP plc, aligning with their business objectives and goals. Build and maintain strong relationships with key decision-makers and influencers at BP … including C-level executives. Identify and pursue new business opportunities within BP, expanding the footprint of Databricks solutions. Collaborate with Databricks' internal teams, including sales, solutions engineering, and customer success, and external ecosystem partners to ensure seamless delivery and support for BP. Serve as the primary point of contact for More ❯
Data Engineer - Leading Energy Company - London (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) Company Overview: Join a dynamic team, a leading player in the energy sector, committed to innovation and sustainable solutions. Our client is seeking a talented Data Engineer to help More ❯
like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Familiarity with modern data lakehouse architectures Knowledge of legacy ETL tools like SSIS Experience with Kubernetes for container orchestration Understanding of streaming More ❯
At Databricks, our 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 … 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 … 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 in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion More ❯
you will have: You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the MIT segment. You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires … business plan. You will lead your team, customers, and partners to identify impactful Data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform. You will support the broader Data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped professional … of consumption-based, land, and expand sales models advantageous. Understanding how to identify important use cases and buying centres to increase the impact of Databricks for clients. About DatabricksDatabricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over More ❯
Data Engineering & Integration: SQL, Python, CI/CD pipelines, ingestion, integration, and automation Big Data Tools: PySpark, Apache Spark, Data Warehousing, Data Factory, Synapse, Databricks, and Data Lake DevOps & Version Control: CI/CD pipelines, Terraform, GitHub, RBAC (Role-Based Access Control) Security & Governance: Data encryption, threat detection, and governance More ❯
audit processes, risk management, and compliance frameworks is highly desirable. Familiarity with cloud platforms (AWS, Azure, or GCP) and big data technologies (Hadoop, Snowflake, Databricks) is a plus. Strong problem-solving, analytical, and critical-thinking skills. Excellent communication and collaboration skills to work effectively with cross-functional teams. Ability to More ❯
driven culture. Driving best practices for data modelling, security, quality, and performance tuning. Managing integration with other Azure services including Azure Data Factory, Synapse, Databricks, and Power BI. Ensuring compliance with data governance, privacy, and security standards. Continuously improving platform capabilities and maintaining knowledge of emerging technologies in the Microsoft More ❯
Experience developing data pipelines in Python using orchestrators such as Airflow. Experience making data available in data science and data visualization tools such as Databricks and Power BI/Fabric. Experience with data extraction from a variety of systems, including familiarity with web-oriented architecture. Ability to analyse and document More ❯
At Databricks, our 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 … 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 … the 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 in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion More ❯
and documentation for data platforms. Continuously improving development standards and processes. What You Need to Have Solid experience with core Azure tech: Data Factory, Databricks, Data Lake, Azure SQL, Synapse, Data Catalog, Purview. Strong Python and SQL skills for data engineering. Familiarity with Azure databases like Synapse EDW, SQL Managed More ❯
is beneficial Experience of designing and building data models using Data Analysis Expressions (DAX) Hands-on experience with Azure tools: Azure Data Factory, Synapse, Databricks, SQL, Data Lake, Power BI, Delta Lake, and Spark. Ability to design, build, and deploy interactive user interfaces for interrogating data Experience of Power Automate More ❯
scientists, analysts, and other stakeholders, to understand project requirements and deliverables. Design, implement, and maintain scalable and robust data pipelines using technologies such as Databricks, MS Fabric, Python, dbt and Terraform/Terragrunt. Identify areas for process optimisation within data engineering workflows and implement best practices to enhance efficiency and More ❯
schemas, is critical for structuring data for analysis. Proficiency in cloud platforms, such as AWS and GCP, with hands-on experience in services like Databricks, Redshift, BigQuery, and Snowflake, is highly valued. Advanced Python skills for data manipulation, automation, and scripting, using libraries like Pandas and NumPy, are necessary for More ❯
for conversion and churn rates, segmentation, journey analytics Data Transformation: Knowledge of and proficiency in ETL/ELT Techniques and tools (e.g. Snowflake, DBT, Databricks, Informatica, Ab Initio etc.) Transformation and aggregation of raw data into modelled, re-usable dimensions, facts and metrics Data Modelling: Experience building scalable and re More ❯
Databricks, Spark, PySpark, Unity Catalog, Databricks Certified Data Engineer Professional, Solutions Architecture A leading Databricks Partner Consultancy have need of strong Databricks Solutions Architects with excellent Databricks knowledge and skills to work on an exciting project for a blue-chip customer. In an initial 6 month contract, wou will be … tasked with working on a new Data Platform design & build on Databricks, Cluster Optimisation etc Key skills and experience for this role includes; - Expert experience with Data Engineering, Data Platforms and Analytics and Consulting - Multiple projects delivered with hands-on experience in development on databricks - Strong knowledge of Cloud ecosystems … one - Deep experience with distributed computing with Spark with knowledge of Spark runtime internals - Familiarity with CI/CD for production deployments and ideally Databricks Asset Bundles - Current knowledge across the breadth of Databricks product and platform features - Familiarity with optimisations for performance and scalability - Databricks Certifications are preffered This More ❯
message the job poster from Vallum Associates Location: London (preferred), open to Birmingham, Manchester, or Newcastle Duration: 6+ months contract Mandatory: Power Automate Experience & Databricks A "Data Engineer with Power Automate" job description would typically seek a candidate with strong data engineering skills, including data extraction, transformation, and loading (ETL More ❯
cloud-based technologies (Azure, AWS, or GCP). You'll design scalable data architectures, including data lakes, lakehouses, and warehouses, leveraging tools such as Databricks, Snowflake, and Azure Synapse. The ideal candidate will have a deep technical background in data engineering and a passion for leading the development of best More ❯
Hands-on experience using Scala, Python, or Java Experience in most data and cloud technologies such as Hadoop, HIVE, Spark, Pig, SQOOP, Flume, PySpark, Databricks, Cloudera, Airflow, Oozie, S3, Glue, Athena, Terraform, etc. Experience with schema design using semi-structured and structured data structures Experience on messaging technologies (e.g. Kafka More ❯
