Data Engineer

Degree in Computer Science, Information Systems, or a related field or equivalent experience

• Querying languages eg SQL, R, Python

• Data modelling, ETL data pipeline tools, eg Azure Data Factory

• Data visualisation tools eg PowerBI, Qlik

• Certification in data engineering or related domains

• Demonstrable experience showing competency working with multiple, complex data sets

• Demonstrable experience showing competency working with data classification and standards

• Demonstrable experience showing competency and ability to give examples of successful, hands-on implementation of ETL processes and delivery of data pipelines..

• Demonstrable experience showing competency working in data in the public sector

• Competent ability to clean, integrate and scale data sets and pipeline, fixing problems in data sets, from low performance to bugs and outages

• Proficiency in using query languages such as SQL, Python, R, with any ability to work with - SQL databases

• Competent ability to produce ETL Routines to meet requirements.

• Competent ability in building, writing and executing tests to ensure data pipelines and products meet the needs of the Force

• Competent experience with data visualization tools (eg Power BI) for reporting and analytics purposes.

• Solid understanding of relational databases, including database design, query optimization, and performance tuning.

• Applied knowledge of modern data engineering tools, technologies and practices.

• Familiarity with data governance principles, data privacy regulations (eg, GDPR, CCPA), and data security best practices.

• Familiarity with cloud platforms (eg, AWS, Azure) and experience with cloud-based data services (eg, Azure Data Factory, Azure Synapse etc.)

• Understanding of the working practices of a Police Force

LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance.

A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.

Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

Degree in Computer Science, Information Systems, or a related field or equivalent experience

• Querying languages eg SQL, R, Python

• Data modelling, ETL data pipeline tools, eg Azure Data Factory

• Data visualisation tools eg PowerBI, Qlik

• Certification in data engineering or related domains

• Demonstrable experience showing competency working with multiple, complex data sets

• Demonstrable experience showing competency working with data classification and standards

• Demonstrable experience showing competency and ability to give examples of successful, hands-on implementation of ETL processes and delivery of data pipelines..

• Demonstrable experience showing competency working in data in the public sector

• Competent ability to clean, integrate and scale data sets and pipeline, fixing problems in data sets, from low performance to bugs and outages

• Proficiency in using query languages such as SQL, Python, R, with any ability to work with - SQL databases

• Competent ability to produce ETL Routines to meet requirements.

• Competent ability in building, writing and executing tests to ensure data pipelines and products meet the needs of the Force

• Competent experience with data visualization tools (eg Power BI) for reporting and analytics purposes.

• Solid understanding of relational databases, including database design, query optimization, and performance tuning.

• Applied knowledge of modern data engineering tools, technologies and practices.

• Familiarity with data governance principles, data privacy regulations (eg, GDPR, CCPA), and data security best practices.

• Familiarity with cloud platforms (eg, AWS, Azure) and experience with cloud-based data services (eg, Azure Data Factory, Azure Synapse etc.)

• Understanding of the working practices of a Police Force

LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance.