The role will be based in Bristol & London however as a result of the wide variety of clients and projects, you may be asked to work in other locations and beyond, sometimes at short notice and sometimes over lengthy periods of time. Your desire and ability to do this will be discussed as part of the recruitment process. Candidates who are unable or do not wish to work on projects in other locations will still be considered. Overview of the role Our ideal candidate is one that has a solid technical background and demonstrable data engineering skills gained in a practical environment and as such those with only theoretical viewpoints will not be considered. The ideal candidate will be able to build on these skills and help deliver and maintain an end-to-end advanced analytics solution on cloud. You will have exposure with cloud, preferably in Microsoft Azure build and maintain data pipelines, understand CI/CD for end-to-end cloud solutions, be able to manage and maintain pre-existing ecosystems, you will be competent in SQL and Python and able to flex into different variants easily and as required. Key activities include, but not be limited to: Build and maintain data pipelines (including those from 3rd party sources and APIs) Identifying and patching issues and bugs identified in the pipeline/architecture Working as part of a data specialist team to deliver quality service to engagement client Providing access and identity management to onboard new customers onto the pre-existing platform Communicating with key stakeholders to define data requirements to support business issues / queries, including collecting, analysing, interpreting, and translating the result to non-technical stakeholders Requirements We're looking for candidates with the following: More than 3 years experience working in the area of data engineering Knowledge and/or certifications demonstrating capability in the above Demonstrable experience across data engineering disciplines including data governance, quality, migration, modelling and warehousing Advanced working knowledge in SQL and fluency in Python Significant practical experience working with cloud platforms (Azure strongly preferred) Experience in building and maintaining data pipelines and architecture Experience with both PaaS (Platform-as-a-Service) and IaaS (Infrastructure as a Service) Strong verbal and written communication skills An analytical mind and inclination for problem-solving Demonstrable experience of success within a range of complex project environments and sectors Proven ability to integrate well into a team and build relationships with senior stakeholders Proven analytical and skeptical mindset with an ability to develop solutions to technical problems Ability to work as part of a larger team and take responsibility for the work you deliver Open to learning new technologies, methodologies, and skills Preferred: Strong development skills withAzure Data Lake,Azure Data Factory, SQL Data WarehouseAzure Blob, Azure Storage Explorer, Stream Analytics and Event Hub. Experience working with the Microsoft Azure cloud-based ecosystem Experience in Extracting data from heterogeneous data sources by usingETL tools Experience in creating and managingSSAS Tabularmodels, creating Dimension and Fact Tables. Finance or Insurance domain Reporting Tools Power BI, Cognos ,MicroStrategy. What is in it for you? As we're responsive to client demands, your role will be varied and challenging, providing you with an opportunity longer-term to work with a wide variety of high profile clients. We're also exceptionally passionate about providing you with the necessary skills, experience and training to help you develop both personally and professionally. You'll therefore be included on our specific Operate training framework, tailored to match your skills, needs and career aspirations. Fully funded by us, you'll complete externally accredited qualifications that will benefit you in the role you are working in. Our training programme is further enhanced through a variety of softer skills training sessions focusing on your relationships and leadership skills. In addition to the client projects and training, our employees are also rewarded with various other as part of your employment Our dedicated internal Careers Service. Competitive salary plus a potential discretionary bonus (performance related) 25 days standard holiday pro rata, with options to increase this through your benefits package Flexible benefits scheme that can be tailored to suit your (and your family's) needs. Provision of a group pension plan with additional funding provided by VM2R Salary : 30K per Annum +Benefits
09/06/2026
Full time
The role will be based in Bristol & London however as a result of the wide variety of clients and projects, you may be asked to work in other locations and beyond, sometimes at short notice and sometimes over lengthy periods of time. Your desire and ability to do this will be discussed as part of the recruitment process. Candidates who are unable or do not wish to work on projects in other locations will still be considered. Overview of the role Our ideal candidate is one that has a solid technical background and demonstrable data engineering skills gained in a practical environment and as such those with only theoretical viewpoints will not be considered. The ideal candidate will be able to build on these skills and help deliver and maintain an end-to-end advanced analytics solution on cloud. You will have exposure with cloud, preferably in Microsoft Azure build and maintain data pipelines, understand CI/CD for end-to-end cloud solutions, be able to manage and maintain pre-existing ecosystems, you will be competent in SQL and Python and able to flex into different variants easily and as required. Key activities include, but not be limited to: Build and maintain data pipelines (including those from 3rd party sources and APIs) Identifying and patching issues and bugs identified in the pipeline/architecture Working as part of a data specialist team to deliver quality service to engagement client Providing access and identity management to onboard new customers onto the pre-existing platform Communicating with key stakeholders to define data requirements to support business issues / queries, including collecting, analysing, interpreting, and translating the result to non-technical stakeholders Requirements We're looking for candidates with the following: More than 3 years experience working in the area of data engineering Knowledge and/or certifications demonstrating capability in the above Demonstrable experience across data engineering disciplines including data governance, quality, migration, modelling and warehousing Advanced working knowledge in SQL and fluency in Python Significant practical experience working with cloud platforms (Azure strongly preferred) Experience in building and maintaining data pipelines and architecture Experience with both PaaS (Platform-as-a-Service) and IaaS (Infrastructure as a Service) Strong verbal and written communication skills An analytical mind and inclination for problem-solving Demonstrable experience of success within a range of complex project environments and sectors Proven ability to integrate well into a team and build relationships with senior stakeholders Proven analytical and skeptical mindset with an ability to develop solutions to technical problems Ability to work as part of a larger team and take responsibility for the work you deliver Open to learning new technologies, methodologies, and skills Preferred: Strong development skills withAzure Data Lake,Azure Data Factory, SQL Data WarehouseAzure Blob, Azure Storage Explorer, Stream Analytics and Event Hub. Experience working with the Microsoft Azure cloud-based ecosystem Experience in Extracting data from heterogeneous data sources by usingETL tools Experience in creating and managingSSAS Tabularmodels, creating Dimension and Fact Tables. Finance or Insurance domain Reporting Tools Power BI, Cognos ,MicroStrategy. What is in it for you? As we're responsive to client demands, your role will be varied and challenging, providing you with an opportunity longer-term to work with a wide variety of high profile clients. We're also exceptionally passionate about providing you with the necessary skills, experience and training to help you develop both personally and professionally. You'll therefore be included on our specific Operate training framework, tailored to match your skills, needs and career aspirations. Fully funded by us, you'll complete externally accredited qualifications that will benefit you in the role you are working in. Our training programme is further enhanced through a variety of softer skills training sessions focusing on your relationships and leadership skills. In addition to the client projects and training, our employees are also rewarded with various other as part of your employment Our dedicated internal Careers Service. Competitive salary plus a potential discretionary bonus (performance related) 25 days standard holiday pro rata, with options to increase this through your benefits package Flexible benefits scheme that can be tailored to suit your (and your family's) needs. Provision of a group pension plan with additional funding provided by VM2R Salary : 30K per Annum +Benefits
Vm2r in Bristol is seeking a Data Engineer with over 5 years of experience. You will create and maintain optimal data pipeline architecture and build analytics tools that offer insights into key business metrics. The ideal candidate will possess advanced SQL skills, experience with big data technologies like Hadoop and Spark, and familiarity with AWS services. This role offers a salary of £30,000 per annum plus benefits.
09/06/2026
Full time
Vm2r in Bristol is seeking a Data Engineer with over 5 years of experience. You will create and maintain optimal data pipeline architecture and build analytics tools that offer insights into key business metrics. The ideal candidate will possess advanced SQL skills, experience with big data technologies like Hadoop and Spark, and familiarity with AWS services. This role offers a salary of £30,000 per annum plus benefits.
Responsibilities Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data related technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Qualifications for Data Engineer Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing 'big data' data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores. Strong project management and organizational skills. Experience supporting and working with cross functional teams in a dynamic environment. We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift Experience with stream processing systems: Storm, Spark Streaming, etc. Experience with object oriented/object function scripting languages: Python, Java, C++, Scala, etc. Salary: 30000 per annum + benefits
09/06/2026
Full time
Responsibilities Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data related technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Qualifications for Data Engineer Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing 'big data' data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores. Strong project management and organizational skills. Experience supporting and working with cross functional teams in a dynamic environment. We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift Experience with stream processing systems: Storm, Spark Streaming, etc. Experience with object oriented/object function scripting languages: Python, Java, C++, Scala, etc. Salary: 30000 per annum + benefits
Vm2r in Bristol is looking for a skilled Data Engineer to develop and maintain advanced analytics solutions on cloud platforms, targeting primarily Microsoft Azure. The role includes building data pipelines, identifying issues, and collaborating with clients to meet their data needs. Applicants should have over 3 years of experience in data engineering, advanced SQL skills, and fluency in Python. The position offers comprehensive training and a competitive salary of 30K per annum, alongside various employee benefits.
09/06/2026
Full time
Vm2r in Bristol is looking for a skilled Data Engineer to develop and maintain advanced analytics solutions on cloud platforms, targeting primarily Microsoft Azure. The role includes building data pipelines, identifying issues, and collaborating with clients to meet their data needs. Applicants should have over 3 years of experience in data engineering, advanced SQL skills, and fluency in Python. The position offers comprehensive training and a competitive salary of 30K per annum, alongside various employee benefits.
Vm2r, located in Bristol, is looking for a motivated Software Engineer to join their team. This role involves analyzing and designing tests, developing a processing platform, and collaborating with cross-functional teams to enhance technology and implement best practices. The ideal candidate will have hands-on experience with cloud deployment technologies and a solid background in Agile methodologies. A salary band ranging from £25,000 to £35,000 per annum along with benefits is offered for this full-time position.
09/06/2026
Full time
Vm2r, located in Bristol, is looking for a motivated Software Engineer to join their team. This role involves analyzing and designing tests, developing a processing platform, and collaborating with cross-functional teams to enhance technology and implement best practices. The ideal candidate will have hands-on experience with cloud deployment technologies and a solid background in Agile methodologies. A salary band ranging from £25,000 to £35,000 per annum along with benefits is offered for this full-time position.
Responsibilities Analyze, design and develop tests and test-automation suites. Design and develop a processing platform using various configuration management technologies. Test software development methodology in an agile environment. Provide ongoing maintenance, support and enhancements in existing systems and platforms. Collaborate cross-functionally with data scientists, business users, project managers and other engineers to achieve elegant solutions. Provide recommendations for continuous improvement. Work alongside other engineers on the team to elevate technology and consistently apply best practices. Qualifications for Software Engineer Hands on experience working with technologies like Hadoop, Hive, Pig, Oozie, Map Reduce, Spark, Sqoop, Kafka, Flume, etc. Strong DevOps focus and experience building and deploying infrastructure with cloud deployment technologies like ansible, chef, puppet, etc. Experience with test driven development and automated testing frameworks. Experience with Scrum/Agile development methodologies. Capable of delivering on multiple competing priorities with little supervision. Excellent verbal and written communication skills. Bachelor's Degree in computer science or equivalent experience. 3-5 years of experience in B2B, a BS degree in computer science or similar, familiar with the following software/tools. Experience with infrastructure automation technologies like Docker, Vagrant, etc. Experience with build automation technologies like Maven, Jenkins, etc. Experience with modern programming languages like Java, Python, etc. Experience with building APIs and services using REST, SOAP, etc. Experience with scripting languages like Perl, Shell, etc. Salary Band: 25000 to 35000 per Annum +Benefits
09/06/2026
Full time
Responsibilities Analyze, design and develop tests and test-automation suites. Design and develop a processing platform using various configuration management technologies. Test software development methodology in an agile environment. Provide ongoing maintenance, support and enhancements in existing systems and platforms. Collaborate cross-functionally with data scientists, business users, project managers and other engineers to achieve elegant solutions. Provide recommendations for continuous improvement. Work alongside other engineers on the team to elevate technology and consistently apply best practices. Qualifications for Software Engineer Hands on experience working with technologies like Hadoop, Hive, Pig, Oozie, Map Reduce, Spark, Sqoop, Kafka, Flume, etc. Strong DevOps focus and experience building and deploying infrastructure with cloud deployment technologies like ansible, chef, puppet, etc. Experience with test driven development and automated testing frameworks. Experience with Scrum/Agile development methodologies. Capable of delivering on multiple competing priorities with little supervision. Excellent verbal and written communication skills. Bachelor's Degree in computer science or equivalent experience. 3-5 years of experience in B2B, a BS degree in computer science or similar, familiar with the following software/tools. Experience with infrastructure automation technologies like Docker, Vagrant, etc. Experience with build automation technologies like Maven, Jenkins, etc. Experience with modern programming languages like Java, Python, etc. Experience with building APIs and services using REST, SOAP, etc. Experience with scripting languages like Perl, Shell, etc. Salary Band: 25000 to 35000 per Annum +Benefits