DevOps Engineer

Introduction 40 hours per week Start date: ASAP End date: 30 June 2027 Hybrid way of work ZZP is not allowed. The relocation is not possible for this role. Function The key areas of responsibility are: * Based on demand, build ETL architecture transferring structured and non-structured data into a Hitachi Content Platform (HCP) Object Store as the back end for archiving; * Build bespoke archives of data to satisfy point business solutions such as regulation and compliance; * Build a generic framework to ingest decommissioned application data into searchable archives, such that applications may present their data from, e.g., a database in a pre-determined format to be ingested in a searchable form; * Deliver a standard interface for searching such archives securely; * Anticipate demand and innovate existing solutions; * Code, test, document, and maintain standardised, automated data pipelines; * Help design and build the infrastructure required for optimal extraction, transformation, and loading of data from a variety of data sources; * Build analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics; * Responsible for testing, documentation, and handover to the customer; * Deliver to meet aggressive timescales; * Communicate progress and risks to the team. Requirements Business Knowledge / Technical Skills * Experience building and optimizing “big data” data pipelines, architectures, and data sets; * Strong analytic skills related to working with both structured and non-structured datasets; * Build processes supporting data transformation, data structures, metadata, dependency, and workload management; * A successful history of manipulating, combining, processing, and extracting value from large disconnected datasets; * Experience supporting and working with cross-functional teams in a dynamic environment; * Knowledge of SIARD (Software Independent Archiving of Relational Databases). We are looking for a candidate with experience or a strong aptitude in a Data Engineering role, and ideally experience using the following software/tools: Must have * In-depth experience of developing Python or PowerShell scripts across Windows and Linux platforms; * Experience with at least one of these object-oriented languages: C#, JavaScript, or .NET; * Experience of UI development, ideally with React. Desirable * Experience with creating playbooks in Ansible Automation Platform; * Working knowledge of and experience working with MSSQL and Oracle databases; * Knowledge of Hitachi Content Platform; * Knowledge of Solr. Personal Attributes * Ability to influence effectively at different organizational levels; * Courage and determination to challenge current practices; * Strong analytical and conceptual skills; * Clear written and verbal communication skills in English; * Ability to deal with people across a complex organisation with different cultures and geographies; * Demonstrates professional acumen, integrity, discretion, credibility, and trustworthiness; * Self-motivated, with the ability to work effectively under pressure and results-driven; * Ability to respond swiftly to changing demands of the business; * Strong interpersonal and client relationship/influencing skills; * Good time management; * Willingness to travel if required.

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