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Job description

The Role: Data Engineer

Purpose:

Designing, building, and maintaining the data infrastructure that powers the organization's data analytics and business intelligence systems. The role requires a combination of technical skills and business acumen to ensure that data is accessible, reliable, and secure.

Accountabilities:

• Design and build scalable data pipelines to collect, process, and store data from a variety of sources.
• Implement data quality control processes to ensure data accuracy and completeness.
• Develop and maintain data storage systems, including databases and our data platform, to support ABPs analytics needs.
• Collaborate with data analysts, and business stakeholders to understand their data needs and provide solutions to support their use cases.
• Develop and maintain data security and privacy protocols to ensure the confidentiality and protection of sensitive information.
• Implement and maintain data backup and recovery procedures to ensure business continuity in the event of a disaster.
• Stay up-to-date with new technologies and trends in the data engineering field and recommend improvements to the data infrastructure.

About you:

You will be a real team player, eager to get stuck in to this exciting and fast-paced industry and work hard. The key to success in this role is communication and prioritisation, it is essential that you can use your initiative and be proactive.

Skills, Experience & Qualifications, Essential:

• Strong knowledge of SQL and experience with database systems, particularly Microsoft SQL Server.
• Experience with data integration technologies such as SSIS and ideally ADF/Synapse Pipelines.
• Knowledge of cloud computing platforms such as Microsoft Azure, AWS or Google Cloud Platform.
• Experience with data lake technologies and modern data warehousing.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Have a Keen eye for detail and accuracy.
• Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously.
• Passion for staying up-to-date with new technologies and trends in the data engineering field.
• Inquisitive mind, endless curiosity and passion for learning about customers, industries and new approaches to doing things. How end users perform their jobs. Industry challenges and solutions

Desirable

• Experience of working in Port or Logistics industry
• Knowledge of alternative cloud computing platforms such as AWS and Google Cloud Platform.
• Experience with alternative data storage systems such as Hadoop, HDFS, and NoSQL databases.
• Experience with data processing technologies such as Apache Spark, Apache Flink, and Apache Storm.

Ideal

• Knowledge of Power BI, Power Query and DAX.
• Experience working with ABP technologies such as Azure, SAP, MS 365
• Bachelor's degree in Computer Science, Information Systems, or a related field.
• At least 3 years of experience in a data engineering role or equivalent developer role
• Experience of working in Shipping and Cargo handling, Oil and Gas and Speciality Trade Contract Handling is a preference

Who are we?

• We’re the UK's largest ports operator with a network of 21 ports around Britain. We handle around one quarter of the UK's seaborne trade and contribute £7.5 billion to our economy every year.
• It’s a story we’re proud of but it doesn’t end there. We’re transforming our business and embracing the future.
• We offer a vast range of roles spanning the UK, all rooted in a culture that welcomes diversity, fosters talent, encourages internal movement and progression, and places safety as our number one priority.

Additional:

• When joining ABP you will find an environment that is both welcoming and challenging. We reward our employees well and offer a generous remuneration package, employer pension, private health insurance and a range of other benefits.
• Please note that ABP undertake random screening for substance abuse and operate a zero-tolerance policy. A medical will be required before starting this position also.
• We are an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of their background, which helps us to provide a diverse and inclusive working environment.

Job Type: Full-time

Benefits:

• Employee discount

Schedule:

• 10 hour shift
• 12 hour shift
• 8 hour shift
• Monday to Friday
• Weekends only

Experience:

• Data Engineer: 3 years (preferred)

Work authorisation:

• United Kingdom (required)

Work Location: Remote