Senior Data Analytics & Automation Engineer
AI summary
Dexwin Tech is hiring a Senior Data Analytics & Automation Engineer in Accra, Ghana. This full-time hybrid role requires building Python-based data solutions, Power BI dashboards, Snowflake SQL workflows, and Power Automate automations within a Microsoft-first environment. Candidates need at least five years of hands-on experience in data, analytics, or automation engineering.
- Full-time hybrid role with 2-3 days per week on-site in Accra
- Microsoft-first stack: Python, Power BI, SQL, Snowflake, Power Automate, Azure
- Minimum five years of relevant hands-on experience required
- Hands-on individual contributor role in a small multidisciplinary team
- Apply directly on the company site
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Source salary availableThe source lists Salary negotiable. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
Can you qualify for this role?
- Required5+ years of relevant experienceThe job post includes a minimum experience signal.
- PreferredPractical evidence in entregador, technology, data engineerThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in AccraThe vacancy is associated with this location.
- UnclearComfort with the Full-time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Senior Data Analytics & Automation Engineer evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Dexwin Tech and the role in Accra.
- Add concrete examples related to entregador, technology, data engineer, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from JobHub Ghana; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
Source and safety check
- JobHub Ghana
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Senior Data Analytics & Automation Engineer role in entregador, technology?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Accra under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Dexwin Tech before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
Salary negotiable
Vacancies
1
Open
Job Type
Hybrid
Accra, Greater Accra
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Job Description
Dexwin is an end-to-end digital product development agency with a focus on delivering usable products that solve problems. We specialize in product design, data analysis, software development, digital advertising and general services. We provide talent to leading firms looking to expand their product teams
Senior Data Analytics & Automation Engineer
Accra, Ghana
Work arrangement:
Hybrid (2-3 days/week on-site)
Employment type:
Full-time
About Dexwin
Dexwin is seeking a Senior Data Analytics & Automation Engineer to design, build, maintain, and troubleshoot data, analytics, and automation solutions. This is a hands-on, individual-contributor role within a small, multidisciplinary team, requiring an experienced engineer who can work independently. Our technology environment is Microsoft-first, centered around Python, Power BI, SQL, Snowflake, Power Automate, and Azure.
Key
Responsibilities
- Design, build, test, and maintain Python-based data-processing and analytics solutions.
- Query and transform data in Snowflake using efficient, maintainable SQL.
- Develop and support Power BI datasets, semantic models, dashboards, and reports.
- Build reliable automations using Python, Power Automate, APIs, and approved low-code tools.
- Diagnose and resolve issues affecting data pipelines, integrations, deployments, dashboards, and production workflows.
- Apply appropriate testing, error handling, logging, monitoring, and recovery practices.
- Manage and deploy changes safely using Git and established development practices.
- Document solution designs, dependencies, operating procedures, and known limitations.
- Identify opportunities to improve reliability, performance, and operational efficiency.
- Required
Experience
- Minimum of five years of relevant hands-on
- in data, analytics, or automation engineering.
- Advanced Python skills, including
- building production solutions beyond notebooks and basic scripts.
- Strong SQL and data transformation capabilities.
- Hands-on
- with Snowflake.
- Advanced Power BI experience, including data modeling, DAX, dashboard development, performance optimization, and production support.
- Practical
- building workflows with Microsoft Power Automate.
- integrating systems and data sources via APIs.
- using Git or an equivalent source-control platform.
- Familiarity with Microsoft Azure data and cloud services.
- Understanding of data pipelines, CI/CD, monitoring, logging, secure development, and controlled deployment practices.
- Proven ability to take technical work from problem definition through production delivery and support.
- What We Are Looking For
- You should be able to:
- Translate business and operational needs into practical technical solutions.
- Work autonomously while clearly communicating progress, risks, and dependencies.
- Methodically diagnose unfamiliar technical problems.
- Select appropriately between coded, low-code, and no-code solutions.
- Produce readable, testable, and maintainable code, along with clear technical documentation.