Job Description
Anticipated Contract End Date/Length: August 22, 2026
Work set up: Hybrid
Our client in the Information Technology and Services industry is looking for a Data Engineer (DOS Reda) to join a growing team within a large, long-standing public-sector partnership. This role will contribute to data acquisition, preparation, and management initiatives aimed at modernising services and delivering secure, reliable data products at scale, while shaping engineering design and strengthening capability across cross-functional Agile teams.
What you will do:
* Design and implement secure, robust, and performant data integration solutions for batch and near-real-time processing.
* Build, operate, and enhance data pipelines covering ingestion, transformation, and curation with monitoring, alerting, and SLAs in place.
* Collaborate with product teams and stakeholders to refine requirements and align solutions to cost, performance, and security NFRs.
* Support incident resolution activities and ensure continuity of data services.
* Participate actively in Agile ceremonies and cross-functional teamwork with engineers, analysts, and business teams.
* Share knowledge, mentor colleagues, and contribute to engineering communities of practice.
* Apply strong SQL and data modelling practices across solutions.
* Work hands-on with ETL and ELT tooling such as Talend, Pentaho DI, Informatica, AWS Glue, or SAS.
* Use databases and data platforms such as Oracle or Cloudera in solution delivery.
* Leverage cloud platforms, ideally AWS, within data engineering workflows.
* Develop and maintain scripts using languages such as Python or Bash.
* Apply data engineering fundamentals including integration, transformation, orchestration, and version control.
Qualifications
* Strong experience in data engineering within complex environments.
* Solid SQL knowledge and hands-on data modelling experience.
* Practical experience with ETL or ELT tools such as Talend, Pentaho DI, Informatica, AWS Glue, or SAS.
* Experience working with databases or data platforms such as Oracle or Cloudera.
* Knowledge of cloud platforms, ideally AWS.
* Experience with scripting or programming languages such as Python or Bash.
* Strong understanding of data engineering fundamentals including integration, transformation, orchestration, and version control.
* Excellent client-facing and consultancy skills.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Candidates must be legally authorized to live and work in the country where the position is based, without requiring employer sponsorship.
HelloKindred is committed to fair, transparent, and inclusive hiring practices. We assess candidates based on skills, experience, and role-related requirements.
We appreciate your interest in this opportunity. While we review every application carefully, only candidates selected for an interview will be contacted.
HelloKindred is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, colour, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic under applicable law.