are willing to teach if you're willing to learn! Required experience: Python Git Nice to have: SQL dbt Github CircleCI Airflow Kubernetes Terraform A Cloud warehouse provider e.g. Databricks, GCP, Snowflake AWS We aren't necessarily looking for someone who is "10-out-of-10" in all these areas; but rather someone who has good experience in most of More ❯
and control analysis, solution design, AI governance, and end-to-end implementation management. • Assist clients in executing their AI & Data strategy through deployment of modern Data platforms like Snowflake, Databricks, and Microsoft Fabric. • Develop and implement data management artifacts by establishing data governance requirements including data lineage discovery, data quality control design and measurement solutions and data privacy related activities. More ❯
mandatory; familiarity with Python-related programming languages (e.g. Pyspark, Polars) is beneficial Proficiency in SQL for data extraction, transformation, and manipulation is beneficial Experience with data lakehouse paradigms (e.g. Databricks, Snowflake, implementations from major cloud providers) is beneficial Exposure to structured and unstructured data storage solutions in some capacity (e.g. SQL, Postgres, MongoDB, AWS S3) is beneficial Experience working in More ❯
10+ years Job Summary : We are seeking a highly experienced and visionary Data Architect to lead the design and implementation of the data architecture for our cutting-edge Azure Databricks platform focused on economic data. This platform is crucial for our Monetary Analysis, Forecasting, and Modelling efforts. The Data Architect will be responsible for defining the overall data strategy, data … within the economic domain. Key Experience: Extensive Data Architecture Knowledge: They possess a deep understanding of data architecture principles, including data modeling, data warehousing, data integration, and data governance. Databricks Expertise: They have hands-on experience with the Databricks platform, including its various components such as Spark, Delta Lake, MLflow, and Databricks SQL. They are proficient in using Databricks for … various data engineering and data science tasks. Cloud Platform Proficiency: They are familiar with cloud platforms like AWS, Azure, or GCP, as Databricks operates within these environments. They understand cloud- data architectures and best practices. Leadership and Communication Skills: They can lead technical teams, mentor junior architects, and effectively communicate complex technical concepts to both technical and non-technical stakeholders. More ❯
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 ❯
and manage data pipelines. Our no-code/low-code ETL platform allows seamless integration of data from any source whether databases, applications, or files into lakehouses like Snowflake, Databricks, and Redshift. With pipelines that just work and features like advanced data transformation using dbt Core and end-to-end pipeline observability, were focused on making robust data pipelines accessible 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 ❯
Strong understanding of data governance, data lineage, and metadata management. Hands-on experience with data modelling tools (e.g., Erwin, PowerDesigner). Familiarity with hyperscalers and modern data platforms (e.g., Databricks, Snowflake). Ability to articulate complex technical concepts clearly and concisely. Experience working with cross-functional teams and influencing decision-making. Strong problem-solving skills and attention to detail. About 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 ❯
need to have These are the essential skills or experience needed to succeed in this role. In-depth Azure knowledge and experience for data platform related technologies Experience with Databricks or equivalent cloud data tooling In-depth experience in design and development of IT and data solutions A broad and balanced understanding of IT capabilities, methods, and technologies Experience influencing More ❯
of transforming how data-driven organisations leverage their customer behavioural data. Following our $40 million Series B funding led by global venture capital firm NEA, known for investments in Databricks, MongoDB, and Elastic, we are seeking creative and innovative individuals to help us shape the future of Snowplow. The Opportunity We are always on the look out for standout Solutions More ❯
throughout the customer journey, delivering tailored demonstrations and customer POCs based on agreed-upon requirements. Develop deep technical domain expertise in Data Activation, CDP, data warehousing (e.g., Snowflake, BigQuery, Databricks), and integration platforms, with a focus on Enterprise use cases across various industries within EMEA, including financial services, retail, SaaS, and similar enterprises. Be accountable for the exceptional customer experience 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 ❯
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 ❯
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 ❯
