Data Systems Engineer
As the Data Systems Engineer, you'll have full autonomy and ownership of the data stack, playing a pivotal role alongside the senior leadership team in optimizing the business.
We usually respond within three days
We are seeking an experienced and detail-oriented Data Systems Engineer. The ideal candidate will have experience with cloud-based data storage/manipulation systems and strong analytical skills, with the ability to turn complex data into actionable insights. The Data Systems Engineer will play an instrumental role in the data transformation process at CTI to drive data-driven decision-making and enhance our understanding of business performance.
A bit about the job.
Maintain, improve and extend our data warehouse, Tableau reporting suite and other related tools/platforms
Work with dbt and Tableau to reliably combine data from multiple systems/platforms into a fully related, normalised structure suitable for efficient tracking and reporting
Liaise with internal stakeholders from around the business to ensure management systems and reporting outputs meet business requirements
Identify and suggest potential improvements to systems and data structures which would delivery enhanced insight and operational efficiencies, based on a comprehensive understanding of business processes
Work with a programme coordinator to maintain a roadmap of improvements, work with business stakeholders to prioritise items and ensure they are delivered accordingly
Implement rigorous data quality assurance processes to ensure data accuracy, completeness and integrity
Ensure all company data remains secure, with access provided to relevant members of the team
Maintain full documentation of the systems and structures in place.
Qualities and Skills
dbt
Tableau Cloud development and management
Fivetran or similar ELT systems
Advanced relational database (PostgreSQL or similar) schema development/maintenance and querying skills
AWS infrastructure and Bitbucket pipelines (desirable)
Proven experience as a Data Analyst, Data Systems Engineer or similar role
Exceptional attention to detail and accuracy in work
Strong analytical and problem-solving skills
Excellent communication (written and verbal), organisational and interpersonal skills
Ability to work autonomously but also as part of a team
A constant desire to improve efficiency and usefulness of management systems and reporting outputs
Location: Our head office is Manchester city centre (Ancoats) - we adopt a hybrid working model (2 days in the office per week)
Salary: DOE
Why CTI Digital?
Having recently received a £25 million investment, CTI is now on an accelerated path with growth in several areas across the business and its other brands. We are committed to ensuring our employees have the best possible opportunities to learn and develop along the way, offering continued professional development days for all levels of the business with a dedicated budget. We pride ourselves on providing high-quality services to clients and recognise the hard work that our staff do that's why we also offer many other benefits including:
- 28 days annual leave, in addition to the bank holidays
- Six days per year for your continuing professional development (CPD)
- Personal training and development fund
- Workplace nursery scheme
- Health cash plan
- Cycle-to-work scheme
- Life assurance scheme
- Flexible working hours
- Employee Assistance Programme
- Annual subscription to Leafyard, a mental wellbeing platform
- Pension 4% matched
- Free breakfast on a Monday (if in the office)
- Company socials
At CTI Digital, we are committed to fostering an inclusive, equal and diverse workplace. We encourage candidates from all backgrounds & communities to apply. If you are a skilled professional with a passion for digital transformation to help businesses succeed, we would love to hear from you. You can also find out more about our work with equality, diversity and inclusion here.
- Locations
- Manchester
- Remote status
- Hybrid Remote
Data Systems Engineer
As the Data Systems Engineer, you'll have full autonomy and ownership of the data stack, playing a pivotal role alongside the senior leadership team in optimizing the business.
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