551 to 575 of 901 Azure Synapse Analytics Jobs

livingston, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 8 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: Data Engineering Consultant (Azure) – hiring at multiple levels Hiring in London, Midlands, Edinburgh & Glasgow Salary Ranges from £40,000 - £65,000 + Car Allowance + Bonus Hybrid Working (x3 days in office, x2 … but not be limited to: Leverage your technical expertise in Data Engineering to deliver impactful projects for a range of clients across their portfolio. Demonstrate your knowledge of Python & Azure to deliver on engagements for major clients. Collaborate effectively within a team of other Data Engineering Consultants on a breadth of projects. Effectively engage and communicate with non-technical … a role that requires both technical ability and business-facing skills. YOUR SKILLS & EXPERIENCE A successful Data Engineering Consultant will have the following: Solid technical ability in Python , SQL & Azure (essential). Strong proficiency in Microsoft Azure and relevant tools/technologies ( Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse ). Proven understanding More ❯

broughton, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Data Engineering Consultant (Azure) – hiring at multiple levels Hiring in London, Midlands, Edinburgh & Glasgow Salary Ranges from £40,000 - £65,000 + Car Allowance + Bonus Hybrid Working (x3 days in office, x2 … but not be limited to: Leverage your technical expertise in Data Engineering to deliver impactful projects for a range of clients across their portfolio. Demonstrate your knowledge of Python & Azure to deliver on engagements for major clients. Collaborate effectively within a team of other Data Engineering Consultants on a breadth of projects. Effectively engage and communicate with non-technical … a role that requires both technical ability and business-facing skills. YOUR SKILLS & EXPERIENCE A successful Data Engineering Consultant will have the following: Solid technical ability in Python , SQL & Azure (essential). Strong proficiency in Microsoft Azure and relevant tools/technologies ( Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse ). Proven understanding More ❯

own learning and development. Nice-to-have skills (that can also be learned on the job!): Experience using PySpark. Some experience using cloud-based platforms for data analysis (e.g. Azure Synapse). Some understanding of data engineering and machine learning project lifecycles. Personal profile: Independent and self-directed individuals that thrive when faced with challenge. Ability to communicate … Organised, self-motivated, results-oriented, and very resourceful. Relishes problem solving, analysis and getting hands on digging into data issues. Fluent English skills, any other languages advantageous. 71082 | Data & Analytics | Professional | Allianz Commercial | Full-Time | Permanent What's in it for you? Let's care about everything that makes you, you We are committed to nurturing an inclusive environment More ❯

expanding Microsoft Partner and are actively searching for senior and mid-level data engineers to join their in-demand data engineering function. If you are an expert with the Azure Data Stack and have consulting experience this will be a great opportunity for you. Salary and Benefits Salary of £50k - £75k (DOE) Discretionary bonus of up to 10% Fully … remote working (office attendance required once per month) And many more! Role and Responsibilities Collaborate with a variety of clients to gather requirements and transform these into tailored Azure-focused solutions Expert knowledge and deployment of Azure Data Factory, Synapse, Data Lake Storage, Python You will navigate clients ERP environments (particularly SAP and/or Dynamics … business Senior roles will require leading on these projects, mentoring and ensuring best practices What do I need to apply Expert use of Python Expert use of the full Azure Data Stack ERP exposure MS Fabric, Databricks, PySpark, Power BI are also desirable skills My client have limited interview slots and they are looking to fill this vacancy by More ❯

with data scientists and stakeholders Follow CI/CD and code best practices (Git, testing, reviews) Tech Stack & Experience: Strong Python (Pandas), PySpark, and SQL skills Cloud data tools (Azure Data Factory, Synapse, Databricks, etc.) Data integration experience across formats and platforms Strong communication and data literacy Nice to Have: Commodities/trading background Experience with data lakes More ❯

with data scientists and stakeholders Follow CI/CD and code best practices (Git, testing, reviews) Tech Stack & Experience: Strong Python (Pandas), PySpark, and SQL skills Cloud data tools (Azure Data Factory, Synapse, Databricks, etc.) Data integration experience across formats and platforms Strong communication and data literacy Nice to Have: Commodities/trading background Experience with data lakes More ❯

with data scientists and stakeholders Follow CI/CD and code best practices (Git, testing, reviews) Tech Stack & Experience: Strong Python (Pandas), PySpark, and SQL skills Cloud data tools (Azure Data Factory, Synapse, Databricks, etc.) Data integration experience across formats and platforms Strong communication and data literacy Nice to Have: Commodities/trading background Experience with data lakes More ❯

with data scientists and stakeholders Follow CI/CD and code best practices (Git, testing, reviews) Tech Stack & Experience: Strong Python (Pandas), PySpark, and SQL skills Cloud data tools (Azure Data Factory, Synapse, Databricks, etc.) Data integration experience across formats and platforms Strong communication and data literacy Nice to Have: Commodities/trading background Experience with data lakes More ❯

with data scientists and stakeholders Follow CI/CD and code best practices (Git, testing, reviews) Tech Stack & Experience: Strong Python (Pandas), PySpark, and SQL skills Cloud data tools (Azure Data Factory, Synapse, Databricks, etc.) Data integration experience across formats and platforms Strong communication and data literacy Nice to Have: Commodities/trading background Experience with data lakes More ❯

with data scientists and stakeholders Follow CI/CD and code best practices (Git, testing, reviews) Tech Stack & Experience: Strong Python (Pandas), PySpark, and SQL skills Cloud data tools (Azure Data Factory, Synapse, Databricks, etc.) Data integration experience across formats and platforms Strong communication and data literacy Nice to Have: Commodities/trading background Experience with data lakes More ❯

Retail-specific computer vision applications Ensure CI/CD workflows and ML Ops practices are followed for model training and deployment pipelines. Monitor, troubleshoot, and optimize production environments on Azure and GCP. Review and refactor existing data pipelines for performance, scalability, and cost-efficiency. Implement best practices around data governance, security, and infrastructure automation (IaC). Collaborate with cross … experience in data engineering roles with proven work in retail or e-commerce environments. Proficient in data pipeline development using Python, SQL, and orchestration tools like Airflow, DBT, or Azure Data Factory. Strong experience with Azure (e.g., Synapse, Data Lake, Functions) and Google Cloud Platform (e.g., BigQuery, Dataflow, Pub/Sub, Composer). Familiarity with ML Ops … workflows, containerization (Docker), and CI/CD tools (e.g., GitHub Actions, Azure DevOps). Knowledge of infrastructure-as-code tools such as Terraform or Deployment Manager. Ability to diagnose performance bottlenecks and improve infrastructure for speed, cost, and reliability. Excellent debugging and troubleshooting skills in distributed systems and data flow architectures. About HCLTech: We are HCLTech, one of the More ❯

Pipeline Development Dashboarding and Reporting (PBI) Data Warehouse design (Kimball Methodology) Generating/Documenting technical specifications Effort Estimations Agile/Waterfall Delivery Environment Power BI DevOps SQL Data Factory Synapse Analysis Services T-SQL DAX M-Query Python Advantageous Requirements Purview Implementation/Master Data Management Machine Learning Model Development/Delivery MS Fabric Experience DP-203 Azure More ❯

impact. Responsibilities: Partner directly with clients to uncover data challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and More ❯

impact. Responsibilities: Partner directly with clients to uncover data challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and More ❯

impact. Responsibilities: Partner directly with clients to uncover data challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and More ❯

impact. Responsibilities: Partner directly with clients to uncover data challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and More ❯

impact. Responsibilities: Partner directly with clients to uncover data challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and More ❯

impact. Responsibilities: Partner directly with clients to uncover data challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and More ❯

skills, technologies, and frameworks. Demonstrated ability to communicate complex technical information in a condensed manner to various stakeholders verbally and in writing. An expert working knowledge of Python and Azure Synapses. 2 - 3 years experience of working within a data analyst/engineering capacity. This is a fantastic opportunity for an individual looking to be an SME to a More ❯

skills, technologies, and frameworks. Demonstrated ability to communicate complex technical information in a condensed manner to various stakeholders verbally and in writing. An expert working knowledge of Python and Azure Synapses. 2 - 3 years experience of working within a data analyst/engineering capacity. This is a fantastic opportunity for an individual looking to be an SME to a More ❯

skills, technologies, and frameworks. Demonstrated ability to communicate complex technical information in a condensed manner to various stakeholders verbally and in writing. An expert working knowledge of Python and Azure Synapses. 2 - 3 years experience of working within a data analyst/engineering capacity. This is a fantastic opportunity for an individual looking to be an SME to a More ❯

skills, technologies, and frameworks. Demonstrated ability to communicate complex technical information in a condensed manner to various stakeholders verbally and in writing. An expert working knowledge of Python and Azure Synapses. 2 - 3 years experience of working within a data analyst/engineering capacity. This is a fantastic opportunity for an individual looking to be an SME to a More ❯

skills, technologies, and frameworks. Demonstrated ability to communicate complex technical information in a condensed manner to various stakeholders verbally and in writing. An expert working knowledge of Python and Azure Synapses. 2 - 3 years experience of working within a data analyst/engineering capacity. This is a fantastic opportunity for an individual looking to be an SME to a More ❯

skills, technologies, and frameworks. Demonstrated ability to communicate complex technical information in a condensed manner to various stakeholders verbally and in writing. An expert working knowledge of Python and Azure Synapses. 2 - 3 years experience of working within a data analyst/engineering capacity. This is a fantastic opportunity for an individual looking to be an SME to a More ❯

Job Title: Solutions Architect (Data Analytics)- Pre-sales, RFP creation Location: London (3days/week onsite) Duration: Permanent Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies - Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least … Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and … and verbal communication skills. A minimum of 5 years' experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache Spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills More ❯