technical voice in the team - without line management responsibilities. What We're Looking For: Essential: Strong experience in Azure-based data engineering roles Strong skills in Azure Data Factory, Databricks, Azure Data Lake, SQL, and Python. Excellent communication and collaboration skills - you'll thrive in a dynamic, agile environment Available to start within a 4-week notice period Desirable: Experience More ❯
with Celery for distributed task execution and background job processing, particularly in data pipeline or microservices environments Hands-on experience with Azure cloud services, especially Azure Data Factory, Azure Databricks, Azure Storage, and Azure Synapse. Proficiency in designing and deploying CI/CD pipelines using Azure DevOps (YAML pipelines, release management, artifact handling). More ❯
Data Analyst or Business Intelligence role. Experience in financial services or fintech preferred. Strong SQL and experience with Python, R or similar. Familiarity with data lakes/warehouses (Snowflake, Databricks). If you meet the above criteria and are looking for your next challenge, we’d love to hear from you – apply now More ❯
Data Analyst or Business Intelligence role. Experience in financial services or fintech preferred. Strong SQL and experience with Python, R or similar. Familiarity with data lakes/warehouses (Snowflake, Databricks). If you meet the above criteria and are looking for your next challenge, we’d love to hear from you – apply now More ❯
and engineering organization Demonstrated experience managing cloud and technology costs Familiarity and understanding of AWS, Azure, and GCP service offerings Proficiency with data analysis tools and techniques (Excel, SQL, Databricks) Ability to communicate articulately and effectively across a diverse stakeholder population Excellent interpersonal and organizational skills Preferred Qualifications: Certifications with AWS, Azure, or GCP FinOps Certified Practitioner Certification FinOps Certified More ❯
work collaboratively in a team environment. Experience in developing and implementing automated trading or decision-making systems is highly desirable Experience with Kubernetes and Kafka are desirable Experience with Databricks is desirable Experience with experimentation is desirable A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. Join Our Team We're More ❯
governance, and analytics. Extensive expertise in Power BI, including developing complex dashboards and reports. Strong understanding of Power BI governance practices. Proficiency with data platforms such as Synapse and Databricks (Desirable) Excellent problem-solving skills and strategic thinking. If you're passionate about creating best-in-class data platforms and transforming how organisations leverage data, we'd love to hear More ❯
the customer business. Able to understand the architecture on any Hyper-scaler [Azure and GCP] and identify potential opportunities for improvement. Knowledge of cutting edge data platforms such as Databricks & Snowflake Able to Create Business Plan for expanding business – Potential Business Opportunities/Competition Strengths, Weaknesses, Continuous improvement, Innovation, and growth Mindset Key Skills Strategic Thinking and Execution Deep E More ❯
the customer business. Able to understand the architecture on any Hyper-scaler [Azure and GCP] and identify potential opportunities for improvement. Knowledge of cutting edge data platforms such as Databricks & Snowflake Able to Create Business Plan for expanding business – Potential Business Opportunities/Competition Strengths, Weaknesses, Continuous improvement, Innovation, and growth Mindset Key Skills Strategic Thinking and Execution Deep E More ❯
catalogues, ad conversion data, targeting and measurement, as well as the changing privacy and compliance landscape. Have a data engineering background, or working experience with data technologies such as Databricks, Spark, Kafka, SQL and Airflow. Have a strong sense of ownership and track record of delivery. You get huge satisfaction from tackling complex and ambitious problems, and delivering the highest More ❯
leading multiple teams and functions in a high-growth environment. Nice to have Experience working in a product-led or B2C business. Familiarity with modern data tooling (e.g., SQL, Databricks, etc.). Degree in Mathematics, Statistics, Economics or a related field. What we're really looking for: ️ Someone with a genuine interest in Chip and is excited about being part More ❯
and is seeking a skilled Data Engineer to join its growing data team. This role plays a key part in building and deploying modern data solutions based on Azure Databricks, enabling faster and more informed business decisions. You'll work hands-on with Azure Databricks, Azure Data Factory, Delta Lake, and Power BI to design scalable data pipelines, implement efficient … future of data within the organisation while working with advanced cloud technologies. Key Responsibilities and Deliverables Design, develop, and optimise end-to-end data pipelines (batch & streaming) using Azure Databricks, Spark, and Delta Lake. Implement Medallion Architecture to structure raw, enriched, and curated data layers efficiently. Build scalable ETL/ELT processes with Azure Data Factory and PySpark. Support data … emerging data technologies (e.g., Kafka/Event Hubs for streaming, Knowledge Graphs). Promote best practices in data engineering across the team. Skills & Experience Hands-on experience with Azure Databricks, Delta Lake, Data Factory, and Synapse. Strong understanding of Lakehouse architecture and medallion design patterns. Proficient in Python, PySpark, and SQL, with advanced query optimisation skills. Proven experience building scalable More ❯
also mentoring customers to foster self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock valuable insights … Translate key business requirements into effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving technical challenges … Deep understanding of at least one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to shifting customer requirements and More ❯
also mentoring customers to foster self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock valuable insights … Translate key business requirements into effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving technical challenges … Deep understanding of at least one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to shifting customer requirements and More ❯
critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with … Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of More ❯
critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with … Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of More ❯
more than 90 million passengers this year, we employ over 10,000 people. Its big-scale stuff and we're still growing. Job Purpose With a big investment into Databricks, and with a large amount of interesting data, this is the chance for you to come and be part of an exciting transformation in the way we store, analyse and … solutions. Job Accountabilities Develop robust, scalable data pipelines to serve the easyJet analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploymachine learning models and algorithms aimed at addressing specific … workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks like Great Expectations, dbt data quality, OpenLineage or Marquez More ❯
Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning Deals, Advisory and Restructuring capabilities. We deliver tangible results for global businesses, their investors, and stakeholders when complex problems arise, and More ❯
remote. Our client is looking for an experienced Lead Data Engineer with the following skill set: Experience with Azure data services, Azure Data Factory (ADF), API development and integration, Databricks, Python programming, Unit testing, GIT version control, Data management and data governance, Data security. If this is you, get in touch ASAP and send us your CV More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Sanderson Recruitment
opportunity to join a prestigious company and to take your career to the next level: Keys skills/Experience: Strong experience working the Azure Data Stack Advance experience with Databricks Insurance experience is a must Solid Data warehousing experience Strong experience with Python T-SQL and SQL is a must Experience leading large projects Experienced working on finance related projects More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Cognify Search
process: 3 stages 📢 Reporting to: Head of Data 👏 Company size: ~300 🎯 Working on: data warehousing, transformation, modelling & visualisation What are we looking for? Hands-on experience with SQL, dbt, Databricks, PowerBI (or similar) & broader modern data tools A strong technical track record of building robust data solutions The ability to communicate data impact clearly & engage business decision makers The ability More ❯
process: 3 stages 📢 Reporting to: Head of Data 👏 Company size: ~300 🎯 Working on: data warehousing, transformation, modelling & visualisation What are we looking for? Hands-on experience with SQL, dbt, Databricks, PowerBI (or similar) & broader modern data tools A strong technical track record of building robust data solutions The ability to communicate data impact clearly & engage business decision makers The ability More ❯
Skills: Strong understanding of asset management and data challenges faced Strong leadership skills with experience managing, mentoring, and developing high-caliber analytics teams Familiarity with analytics tools such as Databricks and PowerBI Experience with AI and automation Strong stakeholder management and communications skills Strategic mindset with the ability to translate complex data into clear, actionable business insights Please note that More ❯
