Location: ICT Services 2B Castle Wynd Inverness, IV2 3EB
Salary: £42,879 - £46,410 per year
Contract Type: Temporary
Position Type: Full Time
Hours: 35 hours per week
Job Description
Post Title: Data Engineer Location: 4 Castle Wynd, Inverness Hours: 35 Hours Per Week Duration: Fixed Term for 23 months Salary: £42,879 - £46,410 per annum Salary placing will normally be at the first point of the scale. Contact Details: Paul Patience Email: paul.patience@highland.gov.uk Job Purpose:
The Highland Council’s ICT department has undergone significant transformation, bringing ICT services in-house. A key focus now is maximizing the use of data and systems, which has led to the launch of the ambitious ‘Data Foundations’ project, sponsored by the Chief Executive and part of the Highland Council Delivery Plan 2024-2027. This project aims to improve data insights across all Council services, enabling better data-driven decisions and supporting customer self-service through enhanced online services, intelligence reports and dashboards. You will help shape the Council’s decision-making process through data insights, driving the shift from siloed operations to integrated, user-centric services. Your ambition to transform the Council, using data as a tool, will be essential in delivering efficient, cost-effective solutions. You’ll contribute to the strong portfolio of work already achieved by ICT Services, confident that better services can be delivered for less. In this role, you will lead the implementation of an organisation-wide data warehouse and master data management solution, integrating data from across the council for use in reporting and analysis. Your experience with data integration, programming, databases, and ETL tools will be critical to success. Please
APPLY ONLINE . The Highland Council understands that diversity fosters creativity and innovation. We are committed to equality of opportunity and being fair and inclusive. We welcome applications from people from all backgrounds, representative of the communities we serve and particularly encourage applications from candidates who are likely to be under-represented in our workforce. As a disability confident employer, we guarantee to interview all disabled applicants who meet the minimum essential criteria requirements for the post. Short listed applicants will normally be contacted by email, unless otherwise stated. Please check your emails regularly, including your junk/spam folder. Requirements
Educated to degree level in a numerate/business related subject, or equivalent experience in data management and ICT security Significant experience in data integration, data warehousing, or a similar role Excellent problem-solving skills and attention to detail Strong communication and interpersonal skills to work effectively in a collaborative environment Demonstrable experience in implementing data integration solutions including design, build and test data products based on feeds from multiple large-scale systems Proficient in the use of ETL tools, such as SSIS, Azure Data Factory, or AWS Glue Excellent knowledge and experience of different database technologies including relational, document and graph databases Knowledge of data modelling techniques and ability to compare and align different data models Skilled in scripting languages, such as Python, Perl, or Unix shell scripts for automation of data processes
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Post Title: Data Engineer Location: 4 Castle Wynd, Inverness Hours: 35 Hours Per Week Duration: Fixed Term for 23 months Salary: £42,879 - £46,410 per annum Salary placing will normally be at the first point of the scale. Contact Details: Paul Patience Email: paul.patience@highland.gov.uk Job Purpose:
The Highland Council’s ICT department has undergone significant transformation, bringing ICT services in-house. A key focus now is maximizing the use of data and systems, which has led to the launch of the ambitious ‘Data Foundations’ project, sponsored by the Chief Executive and part of the Highland Council Delivery Plan 2024-2027. This project aims to improve data insights across all Council services, enabling better data-driven decisions and supporting customer self-service through enhanced online services, intelligence reports and dashboards. You will help shape the Council’s decision-making process through data insights, driving the shift from siloed operations to integrated, user-centric services. Your ambition to transform the Council, using data as a tool, will be essential in delivering efficient, cost-effective solutions. You’ll contribute to the strong portfolio of work already achieved by ICT Services, confident that better services can be delivered for less. In this role, you will lead the implementation of an organisation-wide data warehouse and master data management solution, integrating data from across the council for use in reporting and analysis. Your experience with data integration, programming, databases, and ETL tools will be critical to success. Please
APPLY ONLINE . The Highland Council understands that diversity fosters creativity and innovation. We are committed to equality of opportunity and being fair and inclusive. We welcome applications from people from all backgrounds, representative of the communities we serve and particularly encourage applications from candidates who are likely to be under-represented in our workforce. As a disability confident employer, we guarantee to interview all disabled applicants who meet the minimum essential criteria requirements for the post. Short listed applicants will normally be contacted by email, unless otherwise stated. Please check your emails regularly, including your junk/spam folder. Requirements
Educated to degree level in a numerate/business related subject, or equivalent experience in data management and ICT security Significant experience in data integration, data warehousing, or a similar role Excellent problem-solving skills and attention to detail Strong communication and interpersonal skills to work effectively in a collaborative environment Demonstrable experience in implementing data integration solutions including design, build and test data products based on feeds from multiple large-scale systems Proficient in the use of ETL tools, such as SSIS, Azure Data Factory, or AWS Glue Excellent knowledge and experience of different database technologies including relational, document and graph databases Knowledge of data modelling techniques and ability to compare and align different data models Skilled in scripting languages, such as Python, Perl, or Unix shell scripts for automation of data processes
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