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        Data Engineer

        Network IT
        Midlands
        £45000 - £55000 per annum
        Role: Data Engineer Location: Birmingham (1 Day In-Office Monthly) Duration: 12 Month Fixed-Term Salary: £45,000 - £55,000 We are Network IT have a fantastic opportunity for a Data Engineer to join an outstanding, long-term client who are undertaking a programme to simplify and consolidate their data sources into a modern, scalable data warehouse. This role will require you to be on-site at their Central Birmingham office, once a month. Our client is in the initial stages of developing their cloud-based data warehouse, which is hosted on MS Azure and based on Snowflake. At this stage, the fundamental architecture has been identified and systems are beginning to communicate with one another, but with lots more to do, this is a lucrative opportunity to take control, design and deliver their data platform.
        Role: Data Engineer Location: Birmingham (1 Day In-Office Monthly) Duration: 12 Month Fixed-Term Salary: £45,000 - £55,000 We are Network IT have a fantastic opportunity for a Data Engineer to join an outstanding, long-term client who are undertaking a programme to simplify and consolidate their data sources into a modern, scalable data warehouse. This role will require you to be on-site at their Central Birmingham office, once a month. Our client is in the initial stages of developing their cloud-based data warehouse, which is hosted on MS Azure and based on Snowflake. At this stage, the fundamental architecture has been identified and systems are beginning to communicate with one another, but with lots more to do, this is a lucrative opportunity to take control, design and deliver their data platform.
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        NEWFEATURED
        Role: Data Engineer Location: Birmingham (1 Day In-Office Monthly) Duration: 12 Month Fixed-Term Salary: £45,000 - £55,000 We are Network IT have a fantastic opportunity for a Data Engineer to join an outstanding, long-term client who are undertaking a programme to simplify and consolidate their data sources into a modern, scalable data warehouse. This role will require you to be on-site at their Central Birmingham office, once a month. Our client is in the initial stages of developing their cloud-based data warehouse, which is hosted on MS Azure and based on Snowflake. At this stage, the fundamental architecture has been identified and systems are beginning to communicate with one another, but with lots more to do, this is a lucrative opportunity to take control, design and deliver their data platform.
        Role: Data Engineer Location: Birmingham (1 Day In-Office Monthly) Duration: 12 Month Fixed-Term Salary: £45,000 - £55,000 We are Network IT have a fantastic opportunity for a Data Engineer to join an outstanding, long-term client who are undertaking a programme to simplify and consolidate their data sources into a modern, scalable data warehouse. This role will require you to be on-site at their Central Birmingham office, once a month. Our client is in the initial stages of developing their cloud-based data warehouse, which is hosted on MS Azure and based on Snowflake. At this stage, the fundamental architecture has been identified and systems are beginning to communicate with one another, but with lots more to do, this is a lucrative opportunity to take control, design and deliver their data platform.
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        NEWFEATURED

        Assistant Engineer

        Oceaneering international Services Limited
        UK
        Competitive
        Company Profile Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, entertainment, material handling, aerospace, science, and renewable energy industries. Position Summary ** This role is a Part Time Position working 22.5 hours per week over 3 days and is offered on a fixed term basis for 18 months**
        Company Profile Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, entertainment, material handling, aerospace, science, and renewable energy industries. Position Summary ** This role is a Part Time Position working 22.5 hours per week over 3 days and is offered on a fixed term basis for 18 months**
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        Location: Either Birmingham/Sheffield End Date: 28/11/2025 £550 * Carrying out preprocessing of structured and unstructured data * Enhancing data collection procedures to include all relevant information for developing analytic systems * Processing, cleansing, and validating the integrity of data to be used for analysis. * Analyzing large amounts of information to find patterns and solutions. * Developing prediction systems and machine learning algorithms * Presenting results in a clear manner * Propose solutions and strategies to tackle business challenges. * Data mining or extracting usable data from valuable data sources. * Using machine learning tools to select features, create and optimize classifiers * Programming Skills - Expertise in statistical programming languages like python, and Scala /java is an added advantage.
        Location: Either Birmingham/Sheffield End Date: 28/11/2025 £550 * Carrying out preprocessing of structured and unstructured data * Enhancing data collection procedures to include all relevant information for developing analytic systems * Processing, cleansing, and validating the integrity of data to be used for analysis. * Analyzing large amounts of information to find patterns and solutions. * Developing prediction systems and machine learning algorithms * Presenting results in a clear manner * Propose solutions and strategies to tackle business challenges. * Data mining or extracting usable data from valuable data sources. * Using machine learning tools to select features, create and optimize classifiers * Programming Skills - Expertise in statistical programming languages like python, and Scala /java is an added advantage.
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        PREMIUM
        Databricks Data Engineer (roles available at Lead, Senior and Mid Level), £ 50000 - 85000 + benefits. SQL, ETL, Data Warehousing, Databricks etc. Home Based with one day a month at the office in Nottingham. Strong commercial knowledge of Databricks is required for this role. Expanding SaaS product company are looking for a number of Data Engineer as they continue to grow. In these hands-on roles you will be part of the team responsible for designing, creating, deploying and managing the companies data assets and you will guide and influence other members of the data engineering team with the ultimate goal of writing excellent quality, clean and high performant code. Responsibilities include - * Work with the Data Architects and Data team to determine technical delivery and functionality.
        Databricks Data Engineer (roles available at Lead, Senior and Mid Level), £ 50000 - 85000 + benefits. SQL, ETL, Data Warehousing, Databricks etc. Home Based with one day a month at the office in Nottingham. Strong commercial knowledge of Databricks is required for this role. Expanding SaaS product company are looking for a number of Data Engineer as they continue to grow. In these hands-on roles you will be part of the team responsible for designing, creating, deploying and managing the companies data assets and you will guide and influence other members of the data engineering team with the ultimate goal of writing excellent quality, clean and high performant code. Responsibilities include - * Work with the Data Architects and Data team to determine technical delivery and functionality.
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