19 jobs found

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. About the Role We are seeking a Senior Analytics Engineer to help design, build, and scale our analytics platform. This is a hands on, high impact role suited to someone who enjoys greenfield analytics work, has strong opinions on data modelling and architecture, and partners closely with stakeholders to translate business problems into trusted, well governed data products. You will work within the PlayStation Partners Platform, delivering global data, reporting, and analytics solutions that support partners worldwide in developing and publishing games and content on PlayStation. Our mission is to deliver timely, scalable, and high quality data and insights that enable data driven decision making, improve operational efficiency, and uncover revenue opportunities. In this role, you will help shape how analytics is delivered across the organisation, from modelling standards and dbt best practices to the creation of trusted, decision ready datasets. What You Will Be Doing Analytics Engineering and Data Modelling Design, build, and maintain analytics ready data models using dbt, following best practices such as modularity, reusability, and clear semantic layering. Lead the development of greenfield analytics assets, from raw source ingestion through to curated, business facing models. Apply strong data modelling techniques, including dimensional modelling, facts and dimensions, and other appropriate design patterns. Own and evolve the analytics layer architecture, ensuring it scales with data volume and business complexity. Ensure data quality and trust through testing, documentation, and observability within dbt. Business Partnership Partner closely with business stakeholders, analysts, and product teams to understand requirements and translate them into well designed data models. Act as a trusted thought partner, helping stakeholders understand what is possible with data and shaping requirements collaboratively. Balance technical excellence with pragmatic delivery, focusing on measurable business outcomes. Platform and Best Practices Define and embed dbt standards, including naming conventions, model layering, testing strategies, and documentation practices. Contribute to data architecture decisions, including warehouse design, schema organisation, and performance optimisation. Improve developer experience through tooling, CI/CD patterns, and modern analytics engineering workflows. Maintain deep expertise in the analytics technology stack, ensuring optimal performance and effective feature usage. Required Skills Proven experience delivering data products, analytics, and visualisations using Business Intelligence tools such as Domo, Tableau, Power BI, Qlik, or similar platforms. Strong hands on experience with dbt, including: Data model design and refactoring Generic and singular testing Documentation and exposures Sources, snapshots, and macros Excellent data modelling skills across conceptual, logical, and physical models, including both third normal form and dimensional modelling approaches. Advanced SQL skills and experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift. Demonstrated ability to design analytics models that are technically robust and intuitive for business users. Experience building greenfield analytics or data platforms, or significantly evolving existing ones. Experience with data quality and observability, using dbt or complementary tooling. Familiarity with orchestration tools such as Airflow, Dagster, or Prefect. Experience with semantic layers, metrics frameworks, or analytics consumption patterns. Exposure to data governance, access control, or analytics enablement at scale. Experience mentoring or supporting junior analytics engineers or analysts. Strong track record of partnering effectively with business teams to deliver outcomes. Undergraduate degree in a related field, or an equivalent combination of education and experience. Desirable Experience and Attributes Comfort operating in ambiguous or evolving data environments. Strong focus on clean design, maintainability, and long term sustainability, not just speed of delivery. Pride in building trusted data assets that are widely adopted and valued. Ability to be opinionated yet pragmatic, clearly explaining trade offs and adapting when required. Experience maintaining high technical delivery standards, including documentation and end user self service enablement. Collaboration with business, product, and engineering teams to deliver scalable and flexible solutions. Ongoing support for users who rely on analytics products for decision making. Nice to Have: Extensive experience with Domo. Hands on experience with Snowflake. Exposure to web technologies such as JavaScript, HTML, and CSS. Experience in web analytics or related domains. Knowledge of statistical methodologies. Exposure to data science or advanced analytics use cases. Experience developing on AWS. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Job Description As a Senior Data Modeller, you will play a key role in designing, developing and maintaining enterprise data models that enable analytics, reporting, AI, machine learning and business intelligence initiatives. You will translate complex business requirements into scalable, high-quality data solutions, ensuring data is structured, governed and optimised for performance across the organisation. Location London, United Kingdom (Hybrid working) Employment Type Permanent Responsibilities Translate business requirements into scalable data models that support long-term business and technology objectives. Design, develop and maintain conceptual, logical and physical data models using industry best practices to ensure data quality, consistency and minimal redundancy. Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings. Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance. Optimise and enhance existing data models to support new business initiatives and improve performance. Define and promote data modelling standards, naming conventions and best practices across projects. Identify opportunities to reuse existing data models and data assets to improve efficiency and consistency. Perform reverse engineering of existing databases and SQL scripts to produce accurate data models and documentation. Assess logical and physical data models for quality, integrity, performance and alignment with business requirements. Validate business data entities and ensure data models accurately reflect business processes and information requirements. Analyse data integration challenges and recommend scalable, efficient solutions across multiple systems. Provide technical guidance to Business Analysts, Developers, Engineers and Solution Architects on data modelling, database design and integration approaches. Review application and database designs, recommending improvements to enhance scalability, maintainability and performance. Contribute to the development and implementation of enterprise data architecture, including data movement strategies, technology direction and governance frameworks. Ensure all data architecture deliverables comply with enterprise standards, policies and best practices. Collaborate closely with project managers, business stakeholders, technical teams and clients to provide expert guidance on all aspects of data architecture, modelling and data management throughout the project lifecycle. Experience and Education required 7-10 Years industry implementation experience with one or more data modelling tools such as Erwin, ERStudio, Power Designer etc. Minimum of 8 years of data architecture, data modelling or similar experience 5-7 years of management experience required 5-7 years consulting experience preferred Experience working with dimensionally modelled data Bachelor's degree or equivalent experience, Master's Degree Preferred Understanding of cloud (Azure, AWS, GCP, Snowflake preferred) and on premises architectures Experience in data analysis and profiling Strong data warehousing and OLTP systems from an integration perspective Strong understanding of data integration best practices and concepts Strong SQL skills required scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data. Preferred Skills & Experience Extensive experience in enterprise data modelling, including conceptual, logical and physical data models. Strong understanding of data architecture principles, data governance and enterprise data management best practices. Experience translating business requirements into scalable data models and technical design documentation. Proven experience analysing business processes and designing data models to support reporting, analytics and operational systems. Strong data profiling, data analysis, data quality and data mapping experience, including source-to-target mapping and legacy data migration. Experience designing and implementing data models for data warehouses, data lakes, operational data stores (ODS) and data marts. Experience reverse engineering existing databases and optimising logical and physical data models. Strong SQL skills with experience writing complex queries, stored procedures and performance tuning. Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries and technical specifications. Familiarity with UML and business process modelling techniques. Experience facilitating workshops, Joint Application Design (JAD) sessions and collaborating with business and technical stakeholders. Ability to mentor junior team members and promote data modelling best practices across delivery teams. Experience supporting testing activities, including data validation, reconciliation and data quality assurance. Strong analytical, problem-solving and stakeholder management skills. Desirable Technical Skills SQL Server, Oracle or PostgreSQL NoSQL databases such as MongoDB or Cassandra Erwin Data Modeler, ER/Studio or similar modelling tools TOAD or equivalent SQL development tools Azure Data Factory, Databricks or other modern data platforms Git, Azure DevOps or similar version control tools Power BI or other BI platforms PL/SQL or T-SQL Benefits A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXLprovides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. AtEXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer,EXLis committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXLemployees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). AtEXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. Eligibility To be considered for this role, you must already be eligible to work in the United Kingdom.

Job Title: Data Engineer Location: Long Stratton, Norfolk NR15 (Hybrid - Fortnightly Office Attendance) Contract: Permanent Hours: Full time (37 hours per week) Salary: £63,000 per annum About the Role This is an opportunity to join a growing Data & Analytics team and take ownership of a modern Azure data platform. You'll be responsible for building and maintaining data pipelines, developing data warehouse solutions, and supporting the organisation's move towards Microsoft Fabric. Responsibilities Design, build and maintain a scalable Azure-based data warehouse to support reporting, analytics and business intelligence requirements. Develop and maintain robust ETL/ELT processes, data integration frameworks and transformation pipelines using Azure Data Factory, Azure Synapse and Microsoft Fabric technologies. Support the implementation, optimisation and ongoing development of Microsoft Fabric, including Lakehouse, Warehouse, Data Engineering and Data Pipeline capabilities. Design and maintain efficient data models, ensuring data structures support both operational and analytical reporting requirements. Build reusable, parameterised and scalable data pipelines that integrate data from multiple internal and external sources. Monitor and maintain data pipelines, implementing automated alerting, logging and performance monitoring to ensure platform reliability. Work closely with BI Analysts and business stakeholders to understand data requirements and deliver scalable engineering solutions. Implement data quality controls, validation rules and automated testing processes to improve data accuracy and consistency. Support the development and maintenance of data governance standards, metadata management and technical documentation. Ensure compliance with GDPR and data security requirements across all data solutions. Contribute to cloud infrastructure decisions, platform optimisation and storage strategies to maximise performance and cost efficiency. Utilise Azure DevOps and Git to support CI/CD processes, version control and automated deployments. Provide technical guidance to colleagues and promote best practice across data engineering and platform development. Drive continuous improvement initiatives and identify opportunities to automate manual processes and enhance data accessibility across the organisation. Requirements Proven experience working as a Data Engineer, Azure Data Engineer, ETL Developer or similar role. Advanced SQL skills, including writing, optimising and troubleshooting complex queries, stored procedures and data transformations. Strong experience designing and building ETL/ELT pipelines using Azure Data Factory, Azure Synapse, Databricks, Airflow or similar technologies. Hands on experience working with Azure cloud data platforms, including Data Lake, Synapse Analytics and related services. Strong understanding of data warehousing concepts and data modelling methodologies, including star schema and dimensional modelling techniques. Experience designing scalable data architectures and integrating data from multiple systems and applications. Knowledge of CI/CD processes, source control and deployment automation using Azure DevOps, Git or similar tools. Experience implementing data quality, validation and monitoring processes. Strong understanding of data governance, security principles and GDPR requirements. Excellent problem solving skills with the ability to identify root causes and implement long term solutions. Strong communication skills with the ability to engage effectively with both technical and non technical stakeholders. Ability to manage multiple priorities and deliver high quality solutions within agreed timescales. Desirable Experience working with Microsoft Fabric, including Lakehouse, Warehouse and Data Pipelines. Knowledge of Python and/or Scala for data engineering and automation. Experience with Docker, Kubernetes or other containerisation technologies. Exposure to machine learning pipelines or MLOps frameworks. Experience with data quality frameworks such as Great Expectations. Knowledge of Dynamics365 or housing management systems. Microsoft Azure, SQL or Data Engineering certifications.

Data Engineer Department: IT Employment Type: Permanent Location: Worsley Compensation: £55,000 - £65,000 / year Description At Network Plus, our data transformation journey is well underway. Over the last 12 months, we have successfully migrated significant portions of our on premises data warehouse and Power BI estate to Microsoft Fabric, establishing a modern, scalable data platform that supports enterprise reporting, analytics, and operational decision making. Our Data Engineering team has built the foundations of a robust Fabric based data platform, including automated ingestion pipelines, medallion architecture lakehouses, semantic models, and governance frameworks. As we continue to mature our platform and expand adoption across the business, we are looking for talented Data Engineers to help shape the next phase of our data strategy. This is an exciting opportunity to join a team that has moved beyond platform implementation and is now focused on optimisation, innovation, data quality, and delivering measurable business value through data. We are seeking a skilled Data Engineer with experience in Microsoft Fabric, Azure data technologies, and modern data warehouse architectures to join our growing Data Engineering team. You will play a key role in enhancing and expanding our enterprise data platform, supporting the migration of remaining legacy solutions, and ensuring that high quality, trusted data is available across Network Plus. Working closely with business stakeholders, analysts, and technical teams, you will help deliver scalable and resilient data solutions that underpin critical business processes. Key Responsibilities Design, develop, and maintain data pipelines, lakehouses, and warehouse solutions within Microsoft Fabric. Support the ongoing migration and modernisation of legacy on premises data warehouse and reporting solutions. Develop and optimise ETL/ELT processes using Fabric Data Factory, Notebooks, PySpark, SQL, and related technologies. Collaborate with Data Analysts, BI Developers, and business stakeholders to understand and deliver data requirements. Implement and maintain data quality, governance, security, and monitoring processes. Optimise platform performance, data models, and storage strategies to maximise efficiency and scalability. Support semantic models and reporting solutions that enable self service analytics across the organisation. Troubleshoot and resolve data platform issues while continuously improving operational reliability. Contribute to data architecture standards, best practices, and technical documentation. Experience and Qualifications Proven experience as a Data Engineer in a modern cloud based data environment. Strong experience with Microsoft Fabric and/or Azure Data Services, including Data Lake Storage, Data Factory, Azure SQL, and Synapse technologies. Experience designing and supporting enterprise data warehouses and lakehouse architectures. Proficiency in SQL, Python, PySpark, and data engineering best practices. Strong understanding of ETL/ELT development, data modelling, and dimensional modelling techniques. Experience with Power BI semantic models and analytics platforms. Knowledge of data governance, security, and access control principles. Excellent problem solving, communication, and stakeholder management skills. Experience working in Agile delivery environments is desirable. Salary and Benefits We offer a competitive salary based on experience along with a full benefits package. Network Plus is proud to be an Equal Opportunity Employer. We celebrate diversity and do not discriminate based on race, religion, colour, nationality, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. We are Armed Forces friendly. We welcome applications from ex Armed Forces personnel, reservists, armed forces veterans, cadet instructors and military spouses/partners. We understand that privacy and the security of your personal information is extremely important. By applying for this role, you agree to the terms of our privacy policy.

Data Engineer Department: IT Employment Type: Permanent Location: Worsley Compensation: £55,000 - £65,000 / year Description At Network Plus, our data transformation journey is well underway. Over the last 12 months, we have successfully migrated significant portions of our on premises data warehouse and Power BI estate to Microsoft Fabric, establishing a modern, scalable data platform that supports enterprise reporting, analytics, and operational decision making. Our Data Engineering team has built the foundations of a robust Fabric based data platform, including automated ingestion pipelines, medallion architecture lakehouses, semantic models, and governance frameworks. As we continue to mature our platform and expand adoption across the business, we are looking for talented Data Engineers to help shape the next phase of our data strategy. This is an exciting opportunity to join a team that has moved beyond platform implementation and is now focused on optimisation, innovation, data quality, and delivering measurable business value through data. We are seeking a skilled Data Engineer with experience in Microsoft Fabric, Azure data technologies, and modern data warehouse architectures to join our growing Data Engineering team. You will play a key role in enhancing and expanding our enterprise data platform, supporting the migration of remaining legacy solutions, and ensuring that high quality, trusted data is available across Network Plus. Working closely with business stakeholders, analysts, and technical teams, you will help deliver scalable and resilient data solutions that underpin critical business processes. Key Responsibilities Design, develop, and maintain data pipelines, lakehouses, and warehouse solutions within Microsoft Fabric. Support the ongoing migration and modernisation of legacy on premises data warehouse and reporting solutions. Develop and optimise ETL/ELT processes using Fabric Data Factory, Notebooks, PySpark, SQL, and related technologies. Collaborate with Data Analysts, BI Developers, and business stakeholders to understand and deliver data requirements. Implement and maintain data quality, governance, security, and monitoring processes. Optimise platform performance, data models, and storage strategies to maximise efficiency and scalability. Support semantic models and reporting solutions that enable self service analytics across the organisation. Troubleshoot and resolve data platform issues while continuously improving operational reliability. Contribute to data architecture standards, best practices, and technical documentation. Experience and Qualifications Proven experience as a Data Engineer in a modern cloud based data environment. Strong experience with Microsoft Fabric and/or Azure Data Services, including Data Lake Storage, Data Factory, Azure SQL, and Synapse technologies. Experience designing and supporting enterprise data warehouses and lakehouse architectures. Proficiency in SQL, Python, PySpark, and data engineering best practices. Strong understanding of ETL/ELT development, data modelling, and dimensional modelling techniques. Experience with Power BI semantic models and analytics platforms. Knowledge of data governance, security, and access control principles. Excellent problem solving, communication, and stakeholder management skills. Experience working in Agile delivery environments is desirable. Salary and Benefits We offer a competitive salary based on experience along with a full benefits package. Network Plus is proud to be an Equal Opportunity Employer. We celebrate diversity and do not discriminate based on race, religion, colour, nationality, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. We are Armed Forces friendly. We welcome applications from ex Armed Forces personnel, reservists, armed forces veterans, cadet instructors and military spouses/partners. We understand that privacy and the security of your personal information is extremely important. By applying for this role, you agree to the terms of our privacy policy.

Our consultants combine creative problem solving, innovative technologies and proven implementation skills to deliver solutions that can give our clients' business a competitive edge. We provides IT consultancy, bespoke application development, project management and technical resourcing services to clients across diverse markets. If you are interested working with us, below are the current openings we have, so please apply by sending your cv at by mentioning the job title in the subject of the email. Join the team IoT - Software Developer Industry Experience: 2 Years + Desired Skills: Apache Kafka, Spark Streaming and EMS messaging suite Hbase, Cassandra, Core Spark Geneos, Kibana with Logstash and beats MongoDB, Apache CouchDB and Elasticsearch nosql data stores alongside Oracle RAC and Microsoft SQL Server Cluster Python, Perl, Angular2, Flask, Shell Having some knowledge of Java framework is beneficial Not essential to have knowledge of all the above listed tools and technologies, but the more the better Desired Experience: Experience in working with workflow management abstractions like Luigi, AirFlow and Azkaban Experience in building near real time streaming platform using Kafka, Spark Streaming, Core Spark, HBase, Cassandra and DataStax tools Experience working with multiple types of sensors, and data gateways Preferred to have working experience with Microsoft IoT tools (not mandatory) If you have similar experience i.e. you have experience in above areas but using different toolsets, that is fine as well Qualifications: Bachelor Degree (preferred in any Science subject) or Bachelor degree in Computer Science or Computer Applications (BCA) or A Levels with Maths & Computing subjects with some Certificate or Diploma in any Programming Languages. Duties: To develop the IoT integrations as per project delivery requirements Developing live and batch data streaming services for IoT devices To work with Business Analysts, Technical Architects & Solution Designers to understand the detail of the designed solutions and develop the requirements using different programming languages and tools To liaise with Project Manager and PMO team and follow the task timelines and report progress and delays Highlight any risk and issues to development completion timelines to PMO team To work with co-team members and developers and support System Integration Testing Unit Testing the Code fixing the defects identified during SIT and UAT and other testing phases DevOps - Programmer Industry Experience: 2 Year+ Desired Skills: Desired Experience: Qualifications: Bachelor Degree (preferred in Computer science or Networking) or A Levels with Computing with some Certificate or Diploma in Programming Languages or IT Toolsets listed above. Duties: To develop the required platform environments as per project delivery requirements Help designing the code merging working environment, and CI / CD structures for deployments of projects To work with peer programmers, software developers & Solution Designers to understand the detail of the project requirement and proposed solutions and accordingly develop the integration, environment, and continuous deployment framework using different programming languages and tools e.g., Jenkins etc To liaise with Project Manager and PMO team and follow the task and timelines and report progress and delays Highlight any risk and issues to deployment completion timelines to PMO team To work with co-team members and developers and support Testing phases, as multiple test runs may be needed to execute in parallel, so support that Big Data - Software Developer Industry Experience: 2 Years + Desired Skills: Big Data - Hadoop, MapReduce, HDFS, Hive, Java (jdk1.6), Hadoop distributions of Horton Works or Cloudera or better to have latest merged frameworks experience MapR, Pig, Hive, Python, Sqoop, Spark, Mesos, luigi, Azkaban, Yarn Kafka, Oozie, Zookeeper, Gangilia AWS Suite - EC2, EMR, Redshift and similar tools ETL Tools - Business Objects Data Integrator r2/r3.2, Data Quality, Data Insight, Data Federator, Universe Data Cleanse (UDC) Databases - Oracle 9i/10g, SQL Server 2005/2008 (SSIS,SSAS, SSRS) No SQL Databases including Open Source DBs. Mongo DB or Graph QL etc. Not essential to know all the above listed tools and technologies, but preference to know most or equivalent / similar tools Desired Experience: Working experience building, designing, configuring medium to large scale Hadoop environments Excellent understanding / knowledge of Hadoop architecture and various components such as HDFS, Big Data eco system Job Tracker, Task Tracker, Name Node, Data Node and Map Reduce programming paradigm Hands on experience in installing, configuring, and using Hadoop ecosystem components like Hadoop Map Reduce, HDFS, HBase, Oozie, Hive, Sqoop, Spark, Kafka, Zookeeper, Yarn Experienced in monitoring Hadoop cluster environment using Ganglia Experienced on working with Big Data, Spark, Scala and Hadoop File System (HDFS) Experienced on working with different Big Data variants like on Cloud (AWS, Azure), or on premises (Native, Cloudera and Hortonworks) Strong knowledge of Hadoop and Hive and Hive's analytical functions If you have similar experience i.e. you have experience in above areas but using different toolsets, that's fine as well Qualifications: Bachelor Degree (preferred in any Science) or Bachelor degree in Computer Science or Computer Applications (BCA) or A Levels with Computing with some Certificate or Diploma courses in Programming Languages or Databases designing or relevant to above required skills) Duties: To develop on Big Data technologies as per project delivery requirements Developing data ingestions and data structuring for optimised storage and bulk processing of data Importing and exporting data into HDFS and Hive using Sqoop and other similar tools and utilities e.g., Microsoft Azure Data Factory etc Load and transform large sets of structured, semi structured and unstructured data sets To work with Business Analysts, Technical Architects & Solution Designers to understand the detail of the designed solutions and develop the requirements using different programming languages and tools To liaise with Project Manager and PMO team and follow the task timelines and report progress and delays Highlight any risk and issues to development completion timelines to PMO team To work with co-team members and developers and support System Integration Testing Unit Testing the Code fixing the defects identified during SIT and UAT and other testing phases Data - Programmer Industry Experience: 2 Year+ Desired Skills: Modelling Tools - Erwin, Power Designer, MS Visio Scripting Languages - PL/SQL, T-SQL, R, Power Query, DAX, MDX Business Objects (OLAP): Business Object, BO Supervisor, Designer, Reporter and Web Intelligence MapReduce, Pig & Python ETL Tools - BODS, Informatica SQL Analyzer - SQL, PL-SQL Database Technologies - Oracle, DB2, Netezza, SQL Server, HDFS, HBase, Hive, Impala Algorithms Development / Problem Solving and Data Flow Resolutions using Programming languages like Python database scripting languages Desired Experience: Experience in data Processing with also experience in designing and implementing Data Mart applications, mainly transformation processes using ETL tools Experience of working on medium to large size data warehousing development or data reporting and MI life cycle projects Experience of working on data migration projects, or been involved in supporting data side of the migration's life cycles Some experience with ETL methodology for designing and developing extraction, transformation and load processes in dynamic, high-volume data environments Experience of modelling of Databases for data warehouse implementing Star Schema and Snow Flake Schema Experience in code specifications and OLAP Analysis and Design Experience of using Business Object and creation of Universes, creation of reports and Info views Knowledge and experience of SSIS / SSRS / SSAS Experience of solving technical problems related to data Experience with data profiling and data classification exercise Experience in Data cleanse approach and tools, automation of the manual data cleanse logics Experience of analysing data sets to determine optimal way to aggregate and report on it Qualifications: Bachelor Degree (preferred in Computer Science or Mathematics or Statistics) or A Levels with Mathematics with a Certificate or Diploma in Structures Programming Languages or Relational or Non-SQL Databases. Duties: Work on data centric projects, like Data Migrations or Data Cleanse Projects To automate the data cleanse routines or to automate the data generation as required for projects during data migrations, or testing and performance testing scenarios . click apply for full job details

Our consultants combine creative problem solving, innovative technologies and proven implementation skills to deliver solutions that can give our clients' business a competitive edge. We provides IT consultancy, bespoke application development, project management and technical resourcing services to clients across diverse markets. If you are interested working with us, below are the current openings we have, so please apply by sending your cv at by mentioning the job title in the subject of the email. Join the team IoT - Software Developer Industry Experience: 2 Years + Desired Skills: Apache Kafka, Spark Streaming and EMS messaging suite Hbase, Cassandra, Core Spark Geneos, Kibana with Logstash and beats MongoDB, Apache CouchDB and Elasticsearch nosql data stores alongside Oracle RAC and Microsoft SQL Server Cluster Python, Perl, Angular2, Flask, Shell Having some knowledge of Java framework is beneficial Not essential to have knowledge of all the above listed tools and technologies, but the more the better Desired Experience: Experience in working with workflow management abstractions like Luigi, AirFlow and Azkaban Experience in building near real time streaming platform using Kafka, Spark Streaming, Core Spark, HBase, Cassandra and DataStax tools Experience working with multiple types of sensors, and data gateways Preferred to have working experience with Microsoft IoT tools (not mandatory) If you have similar experience i.e. you have experience in above areas but using different toolsets, that is fine as well Qualifications: Bachelor Degree (preferred in any Science subject) or Bachelor degree in Computer Science or Computer Applications (BCA) or A Levels with Maths & Computing subjects with some Certificate or Diploma in any Programming Languages. Duties: To develop the IoT integrations as per project delivery requirements Developing live and batch data streaming services for IoT devices To work with Business Analysts, Technical Architects & Solution Designers to understand the detail of the designed solutions and develop the requirements using different programming languages and tools To liaise with Project Manager and PMO team and follow the task timelines and report progress and delays Highlight any risk and issues to development completion timelines to PMO team To work with co-team members and developers and support System Integration Testing Unit Testing the Code fixing the defects identified during SIT and UAT and other testing phases DevOps - Programmer Industry Experience: 2 Year+ Desired Skills: Desired Experience: Qualifications: Bachelor Degree (preferred in Computer science or Networking) or A Levels with Computing with some Certificate or Diploma in Programming Languages or IT Toolsets listed above. Duties: To develop the required platform environments as per project delivery requirements Help designing the code merging working environment, and CI / CD structures for deployments of projects To work with peer programmers, software developers & Solution Designers to understand the detail of the project requirement and proposed solutions and accordingly develop the integration, environment, and continuous deployment framework using different programming languages and tools e.g., Jenkins etc To liaise with Project Manager and PMO team and follow the task and timelines and report progress and delays Highlight any risk and issues to deployment completion timelines to PMO team To work with co-team members and developers and support Testing phases, as multiple test runs may be needed to execute in parallel, so support that Big Data - Software Developer Industry Experience: 2 Years + Desired Skills: Big Data - Hadoop, MapReduce, HDFS, Hive, Java (jdk1.6), Hadoop distributions of Horton Works or Cloudera or better to have latest merged frameworks experience MapR, Pig, Hive, Python, Sqoop, Spark, Mesos, luigi, Azkaban, Yarn Kafka, Oozie, Zookeeper, Gangilia AWS Suite - EC2, EMR, Redshift and similar tools ETL Tools - Business Objects Data Integrator r2/r3.2, Data Quality, Data Insight, Data Federator, Universe Data Cleanse (UDC) Databases - Oracle 9i/10g, SQL Server 2005/2008 (SSIS,SSAS, SSRS) No SQL Databases including Open Source DBs. Mongo DB or Graph QL etc. Not essential to know all the above listed tools and technologies, but preference to know most or equivalent / similar tools Desired Experience: Working experience building, designing, configuring medium to large scale Hadoop environments Excellent understanding / knowledge of Hadoop architecture and various components such as HDFS, Big Data eco system Job Tracker, Task Tracker, Name Node, Data Node and Map Reduce programming paradigm Hands on experience in installing, configuring, and using Hadoop ecosystem components like Hadoop Map Reduce, HDFS, HBase, Oozie, Hive, Sqoop, Spark, Kafka, Zookeeper, Yarn Experienced in monitoring Hadoop cluster environment using Ganglia Experienced on working with Big Data, Spark, Scala and Hadoop File System (HDFS) Experienced on working with different Big Data variants like on Cloud (AWS, Azure), or on premises (Native, Cloudera and Hortonworks) Strong knowledge of Hadoop and Hive and Hive's analytical functions If you have similar experience i.e. you have experience in above areas but using different toolsets, that's fine as well Qualifications: Bachelor Degree (preferred in any Science) or Bachelor degree in Computer Science or Computer Applications (BCA) or A Levels with Computing with some Certificate or Diploma courses in Programming Languages or Databases designing or relevant to above required skills) Duties: To develop on Big Data technologies as per project delivery requirements Developing data ingestions and data structuring for optimised storage and bulk processing of data Importing and exporting data into HDFS and Hive using Sqoop and other similar tools and utilities e.g., Microsoft Azure Data Factory etc Load and transform large sets of structured, semi structured and unstructured data sets To work with Business Analysts, Technical Architects & Solution Designers to understand the detail of the designed solutions and develop the requirements using different programming languages and tools To liaise with Project Manager and PMO team and follow the task timelines and report progress and delays Highlight any risk and issues to development completion timelines to PMO team To work with co-team members and developers and support System Integration Testing Unit Testing the Code fixing the defects identified during SIT and UAT and other testing phases Data - Programmer Industry Experience: 2 Year+ Desired Skills: Modelling Tools - Erwin, Power Designer, MS Visio Scripting Languages - PL/SQL, T-SQL, R, Power Query, DAX, MDX Business Objects (OLAP): Business Object, BO Supervisor, Designer, Reporter and Web Intelligence MapReduce, Pig & Python ETL Tools - BODS, Informatica SQL Analyzer - SQL, PL-SQL Database Technologies - Oracle, DB2, Netezza, SQL Server, HDFS, HBase, Hive, Impala Algorithms Development / Problem Solving and Data Flow Resolutions using Programming languages like Python database scripting languages Desired Experience: Experience in data Processing with also experience in designing and implementing Data Mart applications, mainly transformation processes using ETL tools Experience of working on medium to large size data warehousing development or data reporting and MI life cycle projects Experience of working on data migration projects, or been involved in supporting data side of the migration's life cycles Some experience with ETL methodology for designing and developing extraction, transformation and load processes in dynamic, high-volume data environments Experience of modelling of Databases for data warehouse implementing Star Schema and Snow Flake Schema Experience in code specifications and OLAP Analysis and Design Experience of using Business Object and creation of Universes, creation of reports and Info views Knowledge and experience of SSIS / SSRS / SSAS Experience of solving technical problems related to data Experience with data profiling and data classification exercise Experience in Data cleanse approach and tools, automation of the manual data cleanse logics Experience of analysing data sets to determine optimal way to aggregate and report on it Qualifications: Bachelor Degree (preferred in Computer Science or Mathematics or Statistics) or A Levels with Mathematics with a Certificate or Diploma in Structures Programming Languages or Relational or Non-SQL Databases. Duties: Work on data centric projects, like Data Migrations or Data Cleanse Projects To automate the data cleanse routines or to automate the data generation as required for projects during data migrations, or testing and performance testing scenarios . click apply for full job details

Contract 6 months. Location: Manchester - 3 days a week on client site. Key Responsibilities Engage with business stakeholders to understand objectives, challenges, and requirements. Elicit, analyse, and document business and data requirements. Translate business needs into clear user stories and acceptance criteria. Work closely with Product Managers, Developers, Data Engineers, and Analysts to support delivery. Facilitate workshops, requirements-gathering sessions, and stakeholder meetings. Support backlog refinement and prioritisation activities. Ensure requirements are clearly communicated and understood across delivery teams. Assist with data analysis and validation to support business decision making. Identify opportunities for process improvements and optimisation. Required Skills & Experience Proven experience working as a Business Analyst within data focused projects. Experience working alongside Product Managers or within product led delivery teams. Strong stakeholder management and communication skills. Demonstrated ability to gather, analyse, and document business requirements. Experience writing high quality user stories and acceptance criteria. Familiarity with Agile delivery methodologies. Working knowledge of SQL, including the ability to query and analyse data. Strong analytical and problem solving skills. Experience working with data warehouses, reporting platforms, or analytics solutions. Familiarity with Jira, Confluence, or similar tools. Experience supporting digital product development and enhancement initiatives. Understanding of data governance and data quality principles. Experience in the financial sector. EEO Statement We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

Our consultants combine creative problem solving, innovative technologies and proven implementation skills to deliver solutions that can give our clients' business a competitive edge. We provide IT consultancy, bespoke application development, project management and technical resourcing services to clients across diverse markets. If you are interested working with us, below are the current openings we have, so please apply by sending your cv at by mentioning the job title in the subject of the email. Join the team We are currently hiring for these positions: IoT - Software Developer Industry Experience: 2 Years + Desired Skills: Apache Kafka, Spark Streaming and EMS messaging suite. Hbase, Cassandra, Core Spark. Geneos, Kibana with Logstash and beats. MongoDB, Apache CouchDB and Elasticsearch nosql data stores alongside Oracle RAC and Microsoft SQL Server Cluster. Python, Perl, Angular2, Flask, Shell. Having some knowledge of Java framework is beneficial. Not essential to have knowledge of all the above listed tools and technologies, but the more the better. Desired Experience: Experience in working with workflow management abstractions like Luigi, AirFlow and Azkaban. Experience in building near real time streaming platform using Kafka, Spark Streaming, Core Spark, HBase, Cassandra and DataStax tools. Experience working with multiple types of sensors, and data gateways. Preferred to have working experience with Microsoft IoT tools (not mandatory). If you have similar experience i.e. you have experience in above areas but using different toolsets, that's fine as well. Qualifications: Bachelor Degree (preferred in any Science subject) or Bachelor degree in Computer Science or Computer Applications (BCA) or A Levels with Maths & Computing subjects with some Certificate or Diploma in any Programming Languages. Duties: To develop the IoT integrations as per project delivery requirements. Developing live and batch data streaming services for IoT devices. To work with Business Analysts, Technical Architects & Solution Designers to understand the detail of the designed solutions and develop the requirements using different programming languages and tools. To liaise with Project Manager and PMO team and follow the task timelines and report progress and delays. Highlight any risk and issues to development completion timelines to PMO team. To work with co team members and developers and support System Integration Testing. Unit Testing the Code fixing the defects identified during SIT and UAT and other testing phases. DevOps - Programmer Industry Experience: 2 Year+ Desired Skills: Experience in building and maintaining CI/CD pipelines using tools such as Jenkins, Git, Docker and Kubernetes. Knowledge of scripting languages such as Bash, Python or Groovy. Familiarity with cloud platforms (AWS, Azure or GCP) and infrastructure automation tools like Terraform. Understanding of software deployment processes and version control best practices. Cloud or on premise environment setup and configuration. Experience with continuous integration and continuous delivery principles. Desired Experience: Previous role as a DevOps engineer or similar within a production environment. Implemented automated build, test, and deployment pipelines. Collaborated with development teams to integrate continuous delivery into projects. Managed release lifecycle and environment management. Ensured platform reliability and performance through monitoring and automation. Helped design the code merging working environment, and CI/CD structures for deployments of projects. Qualifications: Bachelor Degree (preferred in Computer Science or Networking) or A Levels with Computing with some Certificate or Diploma in Programming Languages or IT Toolsets listed above. Duties: To develop the required platform environments as per project delivery requirements. Help design the code merging working environment, and CI/CD structures for deployments of projects. To work with peer programmers, software developers & Solution Designers to understand the detail of the project requirement and proposed solutions and accordingly develop the integration, environment, and continuous deployment framework using different programming languages and tools e.g., Jenkins. To liaise with Project Manager and PMO team and follow the task timelines and report progress and delays. Highlight any risk and issues to deployment completion timelines to PMO team. To work with co team members and developers and support Testing phases, as multiple test runs may be needed to execute in parallel, so support that. Big Data - Software Developer Industry Experience: 2 Years + Desired Skills: Big Data - Hadoop, MapReduce, HDFS, Hive, Java (jdk1.6), Hadoop distributions of Horton Works or Cloudera or better to have latest merged frameworks experience. MapR, Pig, Hive, Python, Sqoop, Spark, Mesos, luigi, Azkaban, Yarn. Kafka, Oozie, Zookeeper, Ganglia. AWS Suite - EC2, EMR, Redshift and similar tools. ETL Tools - Business Objects Data Integrator r2/r3.2, Data Quality, Data Insight, Data Federator, Universe Data Cleanse (UDC). Databases - Oracle 9i/10g, SQL Server 2005/2008 (SSIS, SSAS, SSRS). No SQL Databases including Open Source DBs. Mongo DB or Graph QL etc. Not essential to know all the above listed tools and technologies, but preference to know most or equivalent / similar tools. Desired Experience: Working experience building, designing, configuring medium to large scale Hadoop environments. Excellent understanding / knowledge of Hadoop architecture and various components such as HDFS, Big Data ecosystem Job Tracker, Task Tracker, Name Node, Data Node and Map Reduce programming paradigm. Hands on experience in installing, configuring, and using Hadoop ecosystem components like Hadoop Map Reduce, HDFS, HBase, Oozie, Hive, Sqoop, Spark, Kafka, Zookeeper, Yarn. Experienced in monitoring Hadoop cluster environment using Ganglia. Experienced on working with Big Data, Spark, Scala and Hadoop File System (HDFS). Experienced on working with different Big Data variants like on Cloud (AWS, Azure), or on premises (Native, Cloudera and Hortonworks). Strong knowledge of Hadoop and Hive and Hive's analytical functions. If you have similar experience i.e. you have experience in above areas but using different toolsets, that's fine as well. Qualifications: Bachelor Degree (preferred in any Science) or Bachelor degree in Computer Science or Computer Applications (BCA) or A Levels with Computing with some Certificate or Diploma courses in Programming Languages or Databases designing or relevant to above required skills). Duties: To develop on Big Data technologies as per project delivery requirements. Developing data ingestions and data structuring for optimised storage and bulk processing of data. Importing and exporting data into HDFS and Hive using Sqoop and other similar tools and utilities e.g., Microsoft Azure Data Factory. Load and transform large sets of structured, semi structured and unstructured data sets. To work with Business Analysts, Technical Architects & Solution Designers to understand the detail of the designed solutions and develop the requirements using different programming languages and tools. To liaise with Project Manager and PMO team and follow the task timelines and report progress and delays. Highlight any risk and issues to development completion timelines to PMO team. To work with co team members and developers and support System Integration Testing. Unit Testing the Code fixing the defects identified during SIT and UAT and other testing phases. Data - Programmer Industry Experience: 2 Year+ Desired Skills: Modelling Tools - Erwin, Power Designer, MS Visio. Scripting Languages - PL/SQL, T-SQL, R, Power Query, DAX, MDX. Business Objects (OLAP): Business Object, BO Supervisor, Designer, Reporter and Web Intelligence. MapReduce, Pig & Python. ETL Tools - BODS, Informatica SQL Analyzer - SQL, PL-SQL. Database Technologies - Oracle, DB2, Netezza, SQL Server, HDFS, HBase, Hive, Impala. Algorithms Development / Problem Solving and Data Flow Resolutions using Programming languages like Python database scripting languages. Desired Experience: Experience in data Processing with also experience in designing and implementing Data Mart applications, mainly transformation processes using ETL tools. Experience of working on medium to large size data warehousing development or data reporting and MI life cycle projects. Experience of working on data migration projects, or been involved in supporting data side of the migration's life cycles. Some experience with ETL methodology for designing and developing extraction, transformation and load processes in dynamic, high-volume data environments. Experience of modelling of Databases for data warehouse implementing Star Schema and Snow Flake Schema. . click apply for full job details

Lead Data Business Analyst (Data Warehouse & Data Modelling) Our London based client is currently looking for a Lead Data Business Analyst to act as the bridge between business stakeholders and technical data teams to define, document, and validate requirements for their enterprise data warehouse. The Data Business Analyst will ensure that data models and warehouse structures accurately support business reporting, analytics, and strategic decision-making. The successful Data BA will be required to visit the client's central London office twice a week. Key Responsibilities Elicit, analyse, and translate business requirements into detailed data requirements, including source to target mappings and logical, conceptual, and physical data models. Collaborate with data architects and data engineers to design and enhance dimensional data models, including fact and dimension tables using star and snowflake schemas. Produce and maintain data warehouse documentation, including entity relationship diagrams (ERDs), data dictionaries, business glossaries, and metadata. Analyse source systems to understand data structures, assess data quality, evaluate data lineage, and perform impact analysis for proposed changes. Validate data models, ETL/ELT pipelines, and warehouse structures against business requirements through testing and User Acceptance Testing (UAT). Partner with business stakeholders, BI developers, data engineers, project managers, and product owners to prioritise requirements and manage the delivery backlog. Identify opportunities to improve existing data models, resolve data inconsistencies, and recommend best practices for data governance and modelling. Support the definition of business rules, data standards, and reporting requirements to ensure consistent use of enterprise data. Essential Strong understanding of data warehousing principles, including dimensional modelling, star and snowflake schemas, normalisation and denormalisation. Extensive experience in data modelling using industry standard modelling tools. Strong SQL skills for data analysis, profiling, reconciliation, and validation. Proven experience gathering and documenting business and data requirements. Experience producing source to target mappings, ERDs, and functional specifications. Excellent stakeholder management and communication skills with the ability to engage both business and technical audiences. Experience working in Agile environments, including user story creation, backlog refinement, sprint planning, and UAT support. Experience with cloud based data platforms, particularly Snowflake. Understanding of ETL/ELT frameworks and tools such as dbt and Apache Airflow. Knowledge of data governance, metadata management, and data lineage concepts. Experience supporting Business Intelligence and reporting solutions. Familiarity with modern analytics engineering practices. Preferred Background Demonstrated experience delivering enterprise data warehouse or analytics platform projects. Ability to communicate complex technical concepts in business friendly language and facilitate collaboration across cross functional teams.

Koch Metals Trading Limited (Category 2 LME Member) is seeking a Business Systems Analyst to support our global Metals trading business in our London office. In this role, you will be the senior IT partner to traders, risk, operations, and finance across our precious and base metals desks - translating complex trading, risk, settlement, and regulatory needs into solutions on our Trinity (by Quoreka) trading platform and surrounding data ecosystem. Success requires deep industry knowledge of physical and financial metals trading, strong analytical and mathematical problem solving instincts, and the technical depth to write SQL - often non trivial Oracle queries - that turns ambiguous business questions into defensible answers. Location This role is based in our London, UK office. What You Will Do Act as the bridge between front, middle, back office and the IT delivery team - partnering with traders, risk, operations, finance, and technology to offer support and deliver high value solutions across the metals trade lifecycle. Lead requirements workshops with traders and operations; document current ("as is") and future ("to be") trade lifecycle processes, and translate them into clear functional specifications, user stories, and process maps. Validate end to end trade lifecycle flows on Trinity - trade capture, pricing, exposure, mark to market, P&L, confirmations, settlements, invoicing, warrant management, and regulatory reporting. Author and tune complex Oracle SQL queries to investigate trade, position, P&L, and risk data; reconcile across systems; and produce analysis the business can act on. Translate LME, UK EMIR REFIT, and MiFID II reporting and position management changes into Trinity configuration, data model, and downstream interface requirements. Work with the team to manage a prioritized backlog of metals trading initiatives, balancing trader driven enhancements, risk and regulatory commitments, and platform health. Drive UAT planning, execution, defect management, and stakeholder sign off for Trinity changes and adjacent system work. Evaluate solution options end to end, ensuring compliance with internal policy, exchange rules, and applicable regulation. Build strong stakeholder relationships across London, Wichita, and other Koch metals locations; communicate project status, risks, and trade offs clearly to senior business and IT leadership. Who You Are (Basic Qualifications) Several years of experience as a Business Analyst, Business Systems Analyst, or comparable role supporting a commodities trading business (metals strongly preferred), with demonstrable seniority and ownership. Deep, hands on understanding of the physical and financial metals trade lifecycle - trade capture, pricing, exposure, P&L, confirmations, settlements, invoicing, and warrant management. Strong knowledge of risk management concepts relevant to metals trading: MTM, P&L attribution, exposure, margin, and credit. Hands on experience with one or more CTRM platforms across front, middle, and back office. Strong Oracle SQL ability - able to independently write and optimize complex queries against production trading data without depending on a developer. Strong mathematical and analytical problem solving skills; comfort working with pricing, curves, and valuations. Proven experience translating business requirements into functional specifications, user stories, and process maps. Excellent written and verbal communication; able to influence at all levels of the organization and with external vendors. What Will Put You Ahead Hands on experience with Trinity by Quoreka. Direct experience with precious metals (gold, silver, platinum) and base metals (copper, aluminum, zinc, nickel, lead, tin) trading. Working knowledge of LME warranting, position limits, and post trade transparency obligations. Familiarity with UK EMIR REFIT and MiFID II transaction and commodity position reporting in a CTRM context. Experience with system integrations to ERP, data warehouses, market data providers (e.g., Bloomberg, Refinitiv), and exchange / clearing interfaces. Experience implementing AI or automation driven solutions to drive efficiencies in trading or back office workflows. Experience with Microsoft toolsets and AWS cloud services. Degree in Finance, Economics, Mathematics, Engineering, Computer Science, Trading, or a related quantitative field; equivalent industry experience will be considered.

Overview Please note: we are offering this position as a fixed term contract. Moneycorp powers global payments for corporates, institutions and high net worth individuals, combining worldwide reach with local expertise. With over 45 years of market experience, two banking licences and offices in 11 countries, our technology delivers 24/7 accessibility, while our people deliver award-winning service. In 2024, we supported £79bn+ of international payments, reaching 190 countries in 130 currencies. Our 32k+ corporate clients benefit from our regulatory resilience with 63+ permissions globally, access to major payment rails, and proprietary technology. Moneycorp is a place where energy, commitment to our shared success, and collaboration are core to our values. We're restless in our drive to surpass the expectations of our customers and unlock opportunities to support them at every stage of their journey. The foundation of our success is our people, and nurturing a culture of belonging for all our colleagues is central to our journey as a global business. Who You Are / Your Next Challenge The Data Engineer plays a critical role in enabling Finance & Treasury to deliver accurate, timely, and insight driven reporting by building scalable data solutions, maintaining core data infrastructure, and supporting the modernisation of Finance systems. This role is responsible for engineering robust data pipelines, managing datasets across the Microsoft Fabric platform, and ensuring Finance has reliable, consistent, and governed data to support transformation, automation, and improved operational efficiency. As Finance undergoes significant change, the Data Engineer will be a key technical contributor-helping shape new ways of working, supporting system enhancements, and ensuring Finance is equipped with modern, resilient data capabilities. Role Responsibilities SQL, Data Extraction and Transformation Design, develop, and maintain SQL data structures within Microsoft Fabric, writing efficient SQL queries and Python based transformations to support scalable data pipelines and optimise performance across Lakehouse and Warehouse workloads. Build and maintain reporting datasets optimised for analytics and visualisation, implementing Slowly Changing Dimension (SCD Type 2) logic to support historical reporting and data accuracy. Ensure data security and integrity throughout the medallion architecture, enforcing access controls, auditing data changes, and ensuring accurate, consistent data is delivered Develop and maintain Power BI semantic models and model layouts built on Microsoft Fabric Gold layer datasets, ensuring secure, performant, and well governed reporting models for dashboards and analytical consumption. Support the onboarding of new data sources into Microsoft Fabric by working with DevOps teams on secure connectivity, API integrations, and operational ingestion processes. Design and develop data pipelines and queries, for efficient data extraction and transformation. Write and maintain production level code to support lead management and Finance systems, ensuring scalability, performance, and reliability. Development and maintenance of complex datasets needed for reports, dashboards, and visualisations. Troubleshoot database related issues. Monitor and optimize database performance, identifying and resolving bottlenecks and inefficiencies. Conduct regular reviews of SQL code and queries for performance improvements Ensure data security and integrity. Stay updated with the latest database technologies and best practices. Data Warehouse Implement best practices for data modelling, ETL processes, and data integration. Optimise data warehouse performance through efficient query design, indexing strategies, and data partitioning. Stay updated on emerging trends and technologies in data management and analytics and evaluate their potential impact on our data warehouse architecture. Finance System Infrastructure Support configuration changes as needed to meet Finance & Business requirements. Take ownership of upgrade processes including testing and configuration changes, ensuring the current system is fit for purpose for Finance users. Facilitating with the implementation of the new functionality arising from the upgraded software. What we're looking for Essential Extensive SQL experience: Working with relational databases (e.g., SQL Server, Oracle, MySQL). Strong proficiency in SQL, T-SQL and SparkSQL. Proven background as a SQL Analyst / Developer or Data Engineer. Experience working with structured and unstructured data sources. Experience writing stored procedures and production level data transformation code. Previous experience of working in a fast-paced environment Knowledge of software development best practices. Strong analytical mind, excellent attention to detail. Good interpersonal and communication skills both written and verbal. Good analytical abilities, with an enquiring mind. Robust, capable of clearly and strongly articulating position. Desirable Hands on experience with Microsoft Fabric. Advance development experience, most notably with programming languages such as python. Power BI model development and semantic modelling. API setup/testing experience (e.g., Postman). Experience with cloud platforms and modern data architectures. Experience within financial services or regulated environments. Advanced Excel skills. Education Bachelor's degree in Computer Science, Information Systems, STEM, or related field. Certifications in Python, PySpark, or cloud technologies are desirable but not essential. Please note: This is a full-time, fixed term contract with an opportunity to work in a hybrid working model within our Finance Transformation team based in our London office. What you get in return This role offers a competitive salary, plus a benefits package including private medical health insurance. Interested? If the role sounds like you, we invite you to upload a copy of your CV and can do this by clicking on the Apply Now button. For company news, announcements and market insights, visit our News Hub. You can also find Moneycorp on Facebook, Twitter UK, Twitter Americas, Instagram, LinkedIn, where you can discover how we are leading the way in global payments and currency risk management. Diversity and Inclusion Moneycorp is proud to be an Equal Opportunity employer. Across our Group, Moneycorp maintains a philosophy that an inclusive company culture inspires creativity, fosters a sense of belonging, and is imperative to both personal and professional growth. With a makeup of 47 percent female employees, Moneycorp has a remarkably diverse workforce. Our commitment to inclusion and opportunity continues to evolve as we listen and engage with our diverse teams. All qualified applicants will receive consideration for employment without regard to age, colour, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, status as an individual with a physical or mental disability status as an individual with a protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Moneycorp believes that diversity is critical to our success in helping Corporate and Private Clients with their FX and International Payments requirements across the world and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We hire on the basis of talent, merit, competence, performance, and business needs.

Senior IT Infrastructure & Systems Manager We are seeking an experienced and highly motivated Senior IT Infrastructure Manager with at least 7 to 10 years of experience to oversee, manage, and continuously improve the organization's IT infrastructure, enterprise systems, network environment, and end user computing services. The successful candidate will ensure the availability, security, performance, and resilience of critical business systems while leading technical teams and supporting key stakeholders across the organization. Responsibilities: Administer, maintain, and optimize Windows and Linux server environments. Manage VMware virtualised infrastructure (vSphere 8 and above). Oversee enterprise backup and disaster recovery solutions using Veeam Backup & Replication, Veeam ONE monitoring and VRO environments. Administer endpoint security and encryption solutions, including Symantec Endpoint Protection and Symantec Endpoint Encryption. Support endpoint DLP, SIEM and security monitoring tools (e.g., Splunk, Tenable). Manage patching processes using ManageEngine Patch Manager Plus. Support Microsoft 365 services and related cloud technologies. Monitor system performance, capacity, availability and infrastructure health. Ensure compliance with IT governance, security policies and operational standards. Provide advanced desktop, laptop, printer, mobile device and branch office IT support. Manage OS deployment, imaging, image creation, maintenance and software packaging. Administer Active Directory, Group Policy Objects, user provisioning and NTFS permissions. Resolve technical incidents and service requests in line with agreed SLAs. Support business critical applications such as Bloomberg FXT, Refinitiv Eikon, Murex Treasury System, SWIFT Alliance Access, 1AML, SIBS, GFMS. Configure and support Cisco switches, routers, FortiGate firewall environments and DNS, DHCP, TCP/IP, LAN/WAN, routing and connectivity troubleshooting. Perform SSL/TLS certificate lifecycle management using OpenSSL. Develop, maintain and enforce IT policies, standards and operating procedures. Produce system architecture diagrams, technical documentation, SOPs, and performance reports. Identify and drive opportunities for automation and service improvement. Support technology planning, infrastructure modernisation and transformation initiatives. Qualifications: 7+ years of experience in enterprise IT infrastructure and systems administration. Experience within financial services, banking, trading or treasury environments. Proven experience managing mission critical infrastructure and applications. Experience operating within regulated and security focused environments. Ability to provide support to VIP stakeholders. Proficiency in Windows Server 2019/2022 (or equivalent), Red Hadoop, VMware vSphere / vCenter, Veeam Backup & Replication, Microsoft Office 365, PowerShell scripting, SQL Server administration, and networking fundamentals. Location: SW1V 1SW, London, England, United Kingdom Remote type: Hybrid (3 days in the office) Start date: As soon as possible Salary: £55,000 - £60,000 C# .NET Developer - Insurance Our client is an insurance underwriter in the City of London looking to grow its software development team with a seasoned C# .NET developer. Responsibilities: Develop complex software with C# and support the entire development lifecycle. Utilise Java, jQuery, Web API, CSS and advanced SQL Server (stored procedures, table design). Provide support for Microsoft Office Applications and design and build reports for SharePoint. Lead improvements to management information and analysis. Analyse requirements and deliver suitable solutions using the most appropriate technology. Document, support and upgrade a wide range of internal applications/processes. Produce ad hoc reporting and analysis of information in the data warehouse. Work both as part of a team and independently, communicating with all business areas. Qualifications: 5-7 years of experience developing complex software with C#. Strong mathematical background (2:1 in maths or computer science or similar). Excellent communication and interpersonal skills. Proficiency in Visual Studio, Microsoft SQL Server, Office 365, SharePoint and related tools. Experience with Eclipse (for underwriting) and Sun (for accounts) is a plus. Location: City of London, England, United Kingdom Start date: As soon as possible Salary: up to £50,000 (potentially higher for exceptional candidates); junior roles considered from £25,000 - £30,000. Contract roles and jobs for Microsoft SQL Server Database Administrator - Manages and optimises SQL Server databases, ensuring performance, security and availability. Data Analyst - Uses SQL Server to query databases and transform data into actionable insights. Database Developer - Designs and develops queries, stored procedures and databases on SQL Server to meet business needs. Business Intelligence Consultant - Uses SQL Server for ETL and develops BI solutions tailored to businesses (PowerBI, SAS, Tableau). Research and Development Engineer - Designs and develops software solutions by integrating SQL Server databases to manage data efficiently.

We are seeking a highly motivated and detail-oriented Data Engineer to join our dynamic Data and Analytics team. Reporting to the Head of Data and Analytics, you will play a pivotal role in transforming raw data into actionable insights that drive strategic business decisions. This position requires a strong analytical mindset, exceptional problem-solving skills, and the ability to effectively communicate complex technical concepts to non-technical stakeholders. The position is more than just a "warehouse developer" role. You will work cross-functionally with various departments-to understand their workflows, model their data, and build the "connective tissue" that makes the business move faster. You will be responsible for the end-to-end lifecycle of a data product: from identifying a business need to building the dbt models and ensuring that transformed data is accessible where it's needed most. Key Responsibilities Ownership of the Modern Data Stack (dbt & BigQuery) Act as a lead developer for our dbt project. Build performant, modular, and well-tested models that turn data into a reliable "Source of Truth." Apply software engineering rigor to the data stack: version control (Git), documentation, unit testing, and CI/CD. Partner with business leads across the company to identify manual processes that can be streamlined through data automation. Bridge the gap between the warehouse and the business by "closing the loop"-ensuring data isn't just sitting in a dashboard but is actively driving operational tools and decision-making. AI Integration: Leverage AI tools and LLMs to accelerate development cycles, automate documentation, and explore new ways to enhance data quality. Stakeholder Engagement Act as a consultant to business leads. Don't just "take tickets"-understand the underlying business logic and propose better ways to structure data. Translate loosely defined business requirements into robust, automated technical solutions. Data Quality Advocacy: Work closely with stakeholders to define data quality standards and establish feedback loops that ensure data captured in upstream systems is accurate, complete, and fit for purpose. Essential Skills and Experience 3+ years of experience in a high-growth data environment (Analytics Engineer, Data Engineer, or Technical Data Analyst). Modern Data Stack Specialist: Deep, practical knowledge of dbt and cloud warehouses (we use BigQuery, but the experience is very transferrable). Expert-level SQL: You write complex, clean, and performant queries. Python Literacy: Not a software developer, but you must be comfortable reading code, writing scripts for data manipulation, and handling API. AI Comfort: You are an "AI-first" builder who is comfortable using AI tools (e.g., Cursor, GitHub Copilot, LLMs) to write code faster, debug, and stay ahead of the curve. Ownership Mindset: You are comfortable working independently, managing your own roadmap, and taking accountability for the entire warehouse architecture. Exceptional Communication: You can walk into a room with a non-technical team, understand their pain points, and explain your technical solution in plain English. Desired Skills and Experience Workflow Automation: Experience with tools like n8n, Zapier, or similar automation platforms. BI/Semantic Platforms: Experience with Looker, Thoughtspot, or similar. Industry Context: Experience in Payments, FinTech, Banking, or Cryptocurrency. Reverse ETL: Familiarity with moving data from the warehouse back into SaaS tools. Benefits The chance to operate at the forefront of our industry You can talk to anyone in the business as there are no barriers and everyone is accessible You will be collaborating with teams on a hybrid working arrangement We value team success where every individual can grow and prosper 30 days annual leave each year, excluding bank holidays 4 wellbeing days per year to prioritise your mental health 1 company volunteering day per year Strong benefits package including; Private Healthcare, Pension, Income Protection (long-term absence), Life Insurance, Menopause Policy, and an enhanced Parental Leave policy

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us. With our hot coral cards and get paid early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers. We're not about selling products - we want to solve problems and change lives through Monzo. Location: London/UK Remote. Salary: £57,800-£75,000. Incentive awards tied to your performance and benefits. About our Analytics Engineering Team Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - Money, Borrowing, Operations and Financial Crime and beyond. The team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation processes and best in class analytics and Data Science. You'll be an individual contributor in our Analytics Engineering team, working across a variety of projects to spot patterns in the way we build our Data Warehouse and optimise our BI platform, Looker. You'll help us load and transform even more data, minimise cloud costs, contribute using our best practices, keeping quality high. What you'll be working on Support the building of robust pipelines and data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases. Build with optimisation of our Data Warehouse in mind, spotting and raising opportunities to reduce complexity and cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Follow our established best practices and standards defined by the team. Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse. You should apply if: You have some experience and a passion for Data Modelling, ETL projects and Big Data as an engineer, developer or analyst. You are confident with SQL and data modelling. You are comfortable with general Data Warehousing concepts. You have an eye for detail. You're ready to be part of a growing team in new areas of growth. The interview process Our interview process involves 4 main stages: Recruiter Call (30 minutes) Initial Call with Hiring Manager (45 minutes) Take home task Final Loop consisting of two hour long interviews to assess a case study and behavioural aspects This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible. What's in it for you We can sponsor your visa. This role can be based in our London office, but we're open to distributed working within the UK with ad hoc meetings in London. We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. £1,000 learning budget each year to use on books, training courses and conferences. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work from home setup. Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or disability status.

About Us Perk (formerly TravelPerk) is the intelligent platform for travel and spend management. Our tools automate from travel bookings to expenses, invoice processing, and more. We aim to power real work with real impact. We're trusted by more than 10,000 companies worldwide, including Wise, On Running, Breitling, and Fabletics. We're tackling the 7 hours of lost productivity per employee each week, a $1.7 trillion problem. Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices, with headquarters in London and Boston. We combine innovation, control, and simplicity to transform how businesses work and how people feel at work. At Perk, we're driven by our values, like being an owner, delivering a 7-star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel and SaaS industries, representing over 70 countries. If you're excited about having a real impact and shaping how millions of people experience work, we'd love you on the team. Visit to learn more. Overview This critical role sits at the intersection of Data Engineering and Data Analytics, focusing on transforming raw data into high-quality, trustworthy, and easily consumable datasets and visualisations for business users. The ideal candidate will possess a strong background in SQL, dbt, data modelling, ETL/ELT principles and experience with modern cloud data platforms. Core Responsibilities Develop and maintain transformation best practices in ELT pipelines: design, develop, and maintain efficient and scalable workflows using tools like dbt to transform raw data loaded into our data warehouse (Snowflake) into clean, ready-to-use data models. Data modelling: implement best-practice data modelling and software engineering techniques to ensure data structures are optimised for performance, accuracy, and ease of use in reporting and analytical applications (e.g. CI/CD, testing, lineage). Data quality and testing: write comprehensive data quality checks, tests, and monitoring scripts to ensure the accuracy, completeness, and reliability of all transformed data assets. Establish and maintain documentation for all data transformations and models. Collaboration: work closely with Data Analysts and business users to understand their reporting needs and optimise data models to support analytical use cases. Collaborate with Data Engineers on data ingestion strategies and platform optimisation. Performance optimisation: tune and optimise SQL queries and data models to reduce latency and improve the performance of our data warehouse and downstream applications. Tool adoption: champion the adoption of modern data stack tools and practices (e.g. Git, CI/CD). Build scalable, compelling data visualisations in Looker that can be used by large teams. Required Qualifications Experience: 3+ years in a data-focused role (e.g., Analytics Engineer, Data Analyst, BI Developer). SQL mastery: expert-level proficiency in writing and optimising complex SQL queries. Data transformation tooling: hands-on experience with dbt (Data Build Tool) or similar data transformation frameworks. Data warehousing: experience with cloud-based data warehouses such as Snowflake, Google BigQuery, or Amazon Redshift. Data modelling: solid understanding of data warehousing concepts, ETL/ELT principles, and dimensional modelling techniques. Version control: proficiency with Git for collaborative development and version control. Familiarity with reporting/BI tools like Looker. Preferred Qualifications Python expertise for automation, integration, and orchestration Experience with semantic layers Experience with orchestration tools like Airflow Knowledge of modern software engineering practices applied to data (e.g., modularity, code review, testing) Our Working Model Our vision is an IRL-first approach to work, with the team working together in-person 3 days a week. This role requires you to be based within commuting distance of our London or Barcelona hub. We believe in meeting in real life to improve connectivity, productivity, and creativity. We can help with relocation for certain roles. English is the official language at the office. Please submit your resume in English and include an updated portfolio and/or resume. Equality and Recruitment Perk is a global company with a diverse customer base, and we are an equal opportunity employer. You're welcome at Perk regardless of how you look, where you're from, or anything else that makes you, well, you.