Insight Investment is looking for an experienced Data Platform Architect to join our growing team building our strategic data platform as we look to adopt best in class data governance and democratise data around the business. The successful candidate will play a pivotal role in shaping and executing our data strategy, leveraging our data assets to the full, elevating our decision-making, streamlining processes, and drive innovation within our organisation. You will be part of the long-standing Data Platform team using Agile methods to deliver solutions on top of our cloud platform. Starting with Azure Databricks as a foundational component, we will look to integrate other technologies and grow capability to meet the demands of the business. You will work closely with a variety of business areas and be involved in all aspects of the Secure System Development Lifecycle (S-SDLC). Role Responsibilities Lead the design and implementation of a robust and scalable data platform using Azure Databricks and complementary tooling to meet the organisation's needs. Contribute to and evolve the Insight Data Strategy, communicate outcomes at an executive through to team level Set the firm-wide standards and conventions for ingesting, governing, transforming, persisting, and democratising data. Enable the adoption of advanced analytics & AI by configuring best-in-class tooling. Evolve the usage of infrastructure-as-code in collaboration with cloud engineering. Align technical designs with internal data, privacy, security and compliance policies. Stay abreast of industry trends and emerging technologies related to Databricks and big data processing, recommending relevant advancements for consideration. Experience Required Azure Databricks (Unity Catalog, Delta Lake, Delta Live Tables, Apache Spark, Structured Streaming) Python3 Terraform in Azure Integration with Collibra Integration with Snowflake Experience with CI/CD pipelines (GitHub Actions / TeamCity / Artifactory). Demonstrate initiative and independence to solve problems. Be able to communicate abstract or complex ideas or solutions effectively. Stand by software engineering principles around quality and doing things the right way. Experience working in and with Agile teams performing iterative development. Ability to collaborate with end users, stakeholders, teams, and team members. Have a constant desire to improve knowledge and drive adoption of new tech or approaches within the teams. Own mistakes and work with your colleagues to redress them, learn from them and make improvements for the long-term. Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief, sexual orientation or other factors protected by federal, state and/or local laws. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at TalentAcquisition@InsightInvestment.com About Insight Investment Insight Investment is a leading asset manager focused on designing investment solutions to meet its clients' needs. Founded in 2002, Insight's collaborative approach has delivered both investment performance and growth in assets under management. Insight manages assets across its core liability-driven investment, risk management, full-spectrum fixed income, currency and absolute return capabilities. Insight is a global network of operations in the UK, Ireland, Germany, US, Japan and Australia. More information about Insight Investment can be found at: www.insightinvestment.com

Role: Senior Data Engineer Locations: Manchester (must be willing to travel to client sites throughout the UK on an ad hoc basis) Salary: Competitive salary and package (Depending on level of experience) Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history at the point of application. Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognised worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: Accenture Next Gen Engineering is over 1,000 people strong and provides end-to-end product engineering solutions which deliver tangible value, fast. We bring together an obsession for technical excellence with agility and scale, to help clients move from project to product at speed. We work with clients in every sector. They range from scale-ups through to national and international blue-chip names and public sector organisations. Our teams routinely work on products that are used by millions of people. We offer an exciting career working in a vibrant environment, with access to training and a global network of experts. As part of our Next Gen Engineering team, you’ll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will: We typically work hand-in-hand with our clients to build great data products. To do this, we need experienced, capable engineers who can both deploy their own mastery to get things done hands-on and successfully lead others in doing so. The nature of our work varies from client to client so there will be lots of opportunities to experience new domains and new stacks. Our team is dedicated to applying great engineering to get great outcomes. Our engineers stand out by keeping one eye on value at all times, and by proposing thoughtful solutions that get the job done efficiently and with low complexity. You’d be a key advocate for this approach within a team. Beyond client work, our engineers are essential contributors to our internal and regional engineering communities. There’s loads of scope to get involved and help shape conversations around tech you’re interested in, share your knowledge and experience, and learn from colleagues working in very diverse problem spaces. We are looking for experience in the following skills: <ul><li>You’ve spent a number of years building data pipelines and products using various platforms and languages, for example batch warehouses driven by ELT and real-time insights. </li><li>You’re fluent in at least one of the core data languages, such as Python or Scala, and of course versed in SQL and its use in data pipelines. </li><li>You have recent experience building, deploying, and running data pipelines or insights tooling on cloud services (AWS, Azure, Snowflake, Databricks) </li><li>You're used to working in an agile, cross-functional team with industry-standard practices </li><li>You’re used to producing repeatable, automated tests for your own work </li><li>You love working with people to build things and solve problems together in an egoless way, regardless of their level of experience or your role in the team </li><li>You’re comfortable with change and always happy to learn something new; as consultants we flex our individual roles and tech stacks as required to get the best outcomes for our clients </li><li>You have some experience leading a team and growing the careers of team members </li></ul> What’s In It For You At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice. Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialised capabilities across more than 40 industries — powered by the world’s largest network of Advanced Technology and Intelligent Operations centres. With 509,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at www.accenture.com Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.

Are you an experienced Data Engineer ? Do you have strong SAS, SQL, Python and Cloud experience in Azure, AWS or GCP ? Have you worked in the Financial Services Industry ? Would you like to work for a fast growing business that specialises in Business Intelligence & Data Analytics ? Its a hybrid working role and you will be based from either their London, Leeds, Manchester or Edinburgh office, typically 3 days a week from home and 2 day in office / on client site. Preferred skills:<ul><li>SAS Data Engineering</li><li>Proficiency in SQL and Python</li><li>Experienced with data warehousing and ETL processes</li><li>Knowledge of cloud platforms and data architecture</li></ul> Experience working in the Retail Banking sector or financial services would be highly beneficial. This is a fantastic opportunity to join a company that truly values their staff. For more information get in touch asap on 0141 5668922

Junior Data Engineer Salary: £40,000 + 6-10% bonus & benefitsTechnology: Python, SQL, Tableau, AWSLocation: Manchester (Hybrid) A leading technology provider in the market research industry is seeking a skilled Analytics Engineer to join their dynamic Data team. This is an exciting opportunity for those looking to leverage cutting-edge technology to gain deep insights into consumers' digital lives. As a Analytics Engineer You will primarily build insightful analytics, monitoring and dashboards to support the growth of the data pipeline and enable high quality analytics of our datasets, to assist our data products teams detect trend changes and ensure stability across our key data points. Key Responsibilities:<ul><li>Writing application code and tests that conform to standards.</li><li>Developing data monitoring systems that aid the identification and alerting of data trends.</li><li>Build and maintain dashboards for analysis utilising skills in Tableau/ PowerBI or similar.</li><li>Working with stakeholders to fully understand requirements.</li><li>Be the subject matter expert for the data platform and supporting processes and be able to present to others to knowledge share.</li><li>Continually review and measure the performance of the Data Pipeline and evaluate improvements in design, architecture and tooling.</li></ul> Essential Skills:<ul><li>Strong problem-solving abilities.</li><li>SQL and Python development experience.</li><li>Experience developing AWS QuickSight, Tableau, Power BI or similar dashboards.</li><li>Exposure to AWS or equivalent cloud technologies.</li><li>Experience working on large and complex datasets.</li></ul> This is a chance for a Analytics Engineer to join an ambitious and increasingly successful organisation who are passionate about their culture! **Unfortunately, due to the high volume of applicants not all submissions will receive feedback.

About Escode Escode, a global leader in software escrow solutions and part of NCC Group, is dedicated to protecting businesses from unforeseen disruptions. We ensure that business-critical software applications and source code are safe, secure, and always available. As a trusted intermediary for some of the world’s best-known brands, we safeguard access to vital code and digital assets, ensuring business continuity and the protection of software investments. With over 40 years of experience, Escode pioneered the software escrow category in 1988, recognizing the growing technology dependence of businesses and the need for a safety mechanism. We are proud to set industry standards and shape its direction, providing unparalleled expertise and reliability. Learn more about Escode: <a>https://www.escode.com/</a> The Opportunity: Data and Reporting is a newly formed team within Escode with the mission to deliver a data strategy tailored to our business, delivering innovation and supporting business growth. We are looking for a skilled and motivated Data Engineer who will drive the successful creation of brand-new data platform in the Microsoft Azure and Fabric space. This will provide the services and tools to extract deeper insights from big and complex data, it will help us drive data quality improvements across the business and will enable our stakeholders to adopt a data-driven approach. You’ll support the rollout of this platform through your technical expertise, methodical approach to lean architecture and solid data governance foundations, helping NCC to deliver against its core mission-led strategic objectives. Your past experience will help guide decision-making on platform architecture, and therefore great communication skills are important for this role. The platform will be designed to be iterative and adaptive, allowing the addition of new data sources, analytical models and data solutions with ease, ensuring that NCC stays current and leverages the latest advancements in data intelligence. Escode’s complex system landscape will require you to think of innovative solutions when it comes to our operational data and how to utilise it best within the business. Working as part of our Global Technology Services Department (Global IT), within the Data and Reporting Team dedicated to Escode, you will closely collaborate with our group Data and Reporting team, as well as all areas of the business. Key Accountabilities: <ul><li>Create and continuously develop Escode’s own Data Platform, ensuring its availability and performance to meet business needs. </li><li>Build data pipelines to connect APIs, files, databases, and data streams to our Data Platform. </li><li>Own and manage the ETL/ELT for the Data Platform end-to-end, including our dimensionally modelled semantic layer. </li><li>Define and embed data quality measures within data pipelines. </li><li>Ensure data integrity, monitoring, and alerting are integrated into all solutions. </li><li>Create and manage Build and Deployment pipelines. </li><li>Collaborate with both technical and business stakeholders to translate requirements into solutions and ensure successful business outcomes. </li><li>Drive the overall design of the Data Platform not just now, but in our future state, whatever that may look like. </li><li>Collaborate closely with the Data Engineers in our Group team sharing best practice and enabling efficient group reporting practices. </li><li>Work in an Agile Kanban workflow to safely code, review, test, and deploy solutions using source control. </li></ul> Skills: <ul><li>Extensive hands-on experience with the tools within the Microsoft Azure ecosystem (As a must: Azure Data Factory, Azure Synapse or Azure SQL). </li><li>Hands on experience with dimensional modelling of operational data for analytics use cases. </li><li>Knowledge of ETL tools and approaches. </li><li>Experience with Python for scripting and automating data tasks. </li><li>Knowledge of CI/CD approaches for Data Platforms using various methodologies. </li><li>Knowledge of MS SQL Server, SSIS, Visual Studio, and SSDT projects. </li><li>Degree or equivalent qualification/experience in computer science, data science, or a related field. </li><li>Experience in a relevant sector is a plus. </li><li>Hands on experience with Microsoft Fabric is a plus. </li><li>Experience with Salesforce and/or Workday is a plus. </li></ul> Behaviours: <ul><li>Focusing on Clients and Customers​ </li><li>Working as One NCC </li><li>Always Learning </li><li>Being Inclusive and Respectful​ </li><li>Delivering Brilliantly </li></ul> About NCC Group The NCC Group family has over 2,200 members located all around the world, providing a trusted advisory service to 15,000 customers. Born in the UK, we have now have offices in North America, Canada, Europe, Asia- Pacific and United Arab Emirates. We are passionate about helping our customers to protect their brand, value and reputation against the ever-evolving threat landscape. We fuel that passion with investment in our people and our business. Our values and code of ethics are at the heart of how we operate – we work together, we are brilliantly creative and we embrace difference. We treat everyone and everything with equal respect. We want to create an environment where all colleagues feel psychologically, emotionally and physically safe to be authentic, sharing their personal experiences to represent the diversity of the world they live in, and have equal opportunity to achieve their best. About your application We review every application received and will get in touch if your skills and experience match what we’re looking for. If you don’t hear back from us within 10 days, please don’t be too disappointed – we may keep your CV on our database for any future vacancies and we would encourage you to keep an eye on our career opportunities as there may be other suitable roles. If you do not want us to retain your details, please email global.ta@nccgroup.com. All personal data is held in accordance with the NCC Group Privacy Policy. We are committed to diversity and flexibility in the workplace. If you require any reasonable adjustments to support you during the application process, please tell us at any stage.

Job Title: Senior Data EngineerSalary: £70-90kLocation: Manchester(NO SPONSORSHIP OFFERED IN THIS ROLE) Job Description: We’re looking for a highly skilled and motivated Senior Data Engineer to join a forward-thinking startup team. If you have a strong background in data engineering, data governance, and metadata management, along with expertise in AWS and Python, we want to hear from you! Key Responsibilities:Data Engineering:<ul><li>Design, develop, and maintain robust data pipelines and ETL processes for a Dynamic Metadata system and risk index technology.</li><li>Implement real-time data processing solutions to ensure timely and accurate data for the clients product</li><li>Optimize data storage and retrieval processes to enhance system performance and scalability.</li></ul> AWS:<ul><li>Utilize AWS services (S3, Redshift, EMR, Lambda, Kinesis) to build and manage scalable data infrastructure.</li><li>Implement best practices for security, monitoring, and cost management within the AWS ecosystem.</li><li>Collaborate with DevOps teams to ensure seamless deployment and integration of data solutions.</li></ul> Data Governance and Metadata Management:<ul><li>Establish and enforce data governance policies to ensure data quality, integrity, and compliance.</li><li>Develop and maintain metadata management frameworks to support dynamic data processing and real-time analytics.</li><li>Collaborate with cross-functional teams to define data standards and ensure consistency across the organization.</li></ul> Python Programming:<ul><li>Develop and maintain Python scripts and applications for data processing, analysis, and automation tasks.</li><li>Implement machine learning algorithms and statistical models to enhance risk assessment and insurance policy calculations.</li><li>Write clean, efficient, and well-documented code to ensure maintainability and reproducibility.</li></ul> Qualifications:<ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li><li>Proven experience as a Data Engineer, with a focus on data governance and metadata management.</li><li>Strong proficiency in AWS services and cloud architecture.</li><li>Advanced skills in Python programming and related libraries (e.g., pandas, NumPy, scikit-learn).</li><li>Experience with real-time data processing frameworks (e.g., Apache Kafka, Apache Spark) is a plus.</li><li>Solid understanding of data security, privacy regulations, and compliance standards.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication and collaboration skills.</li></ul> What the client Offers:<ul><li>Competitive salary and benefits package.</li><li>Opportunity to work with a dynamic and innovative team at the forefront of insurance technology.</li><li>Professional development and growth opportunities.</li><li>Flexible working environment with a focus on work-life balance.</li></ul> Ready to Innovate? Apply Now!

Senior Data Engineer required for an Enterprise Scale Business, paying up to £55K + Bonus + Excellent Benefits, with hybrid working in Manchester or Preston *This is hybrid working offering 2 to 3 days in your nearest office, with the others remotely. (It's still a new team finding the best approaches and solutions with users so being face to face is working really well whilst defining this) As Senior Data Engineer you will join a relatively new team as a result of continued investment and commitment in the utilisation of Data, BI and data architecture As Senior Data Engineer you will be working with complex ETL data pipelines, working in an Azure focused environment using tools such as Azure Data Factory and Synapse. Please note; this role leans towards Data Engineering over purely Business Intelligence. You will still work closely with stakeholders however very much focused on ADF, Synapse, ETL and their new Data Lake. As a well-established business, with a broad array of stakeholders of all levels, they are hoping, and wanting, to utilise more data sets as well as in a much more usable and creative way. This is an ideal role for a Senior BI Engineer who enjoys working with a business, and it's people, in order to extract and visualise their data in new and better ways. They really are hoping for someone who has a proactive approach to data, strong experience in ETL, data extraction as well as some visualisation. They have already invested in the following tools and architecture:<ul><li>New Data warehousing architecture, data lake, engineering and pipelines</li><li>Azure Data Factory</li><li>Synapse</li><li>Power BI</li></ul> This is building on their historical SQL Server databases as well as SSIS, SSAS and SSRS - these aren't essential skills however knowledge of this will of course help them continue to transition. This is a great role with varied day to day work and real visibility and impact in what you do - I hope this suits you and what you are looking for To find out more, please click Apply and we will be in touch with more information

Data Engineer Jobs in Manchester Area, United Kingdom

Senior Data Engineer
November 17, 2024

Senior Data Engineer Associate Manager
November 13, 2024

Data Engineer Sas
November 12, 2024

Junior Data Engineer
November 10, 2024

Data Engineer
November 6, 2024

Senior Data Engineer
October 27, 2024

Senior Data Engineer
October 27, 2024

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Data Engineer Jobs in Manchester Area, United Kingdom

Senior Data EngineerNovember 17, 2024

Senior Data Engineer Associate ManagerNovember 13, 2024

Data Engineer SasNovember 12, 2024

Junior Data EngineerNovember 10, 2024

Data EngineerNovember 6, 2024

Senior Data EngineerOctober 27, 2024

Senior Data EngineerOctober 27, 2024

Quick filters

Top companies

Senior Data Engineer
November 17, 2024

Senior Data Engineer Associate Manager
November 13, 2024

Data Engineer Sas
November 12, 2024

Junior Data Engineer
November 10, 2024

Data Engineer
November 6, 2024

Senior Data Engineer
October 27, 2024

Senior Data Engineer
October 27, 2024