Data Engineer

Job Description Proudly voted a Great Place to Work®, we are a dynamic startup in the SaaS space th...

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المكان

السعودية العربيه

نوع العمل

عمل كلي

الخبرة

0-3 سنوات

الراتب

غير مذكور

الملخص الوظيفي

Job Description


Proudly voted a Great Place to Work®, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.


We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we’re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!


Meet the team!


Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.


We seek a skilled and passionate Data Engineer with expertise in Tableau and other Business Intelligence (BI) tools to join our dynamic data team. The ideal candidate will have experience with building, managing, and optimizing data pipelines while leveraging Tableau and other visualization tools such as Power BI for comprehensive reporting and data insights. You will collaborate closely with data scientists, and business stakeholders in this role to deliver actionable data solutions that drive strategic business decisions.


Help Us Shape The Future Of Communication By



Designing, building, and maintaining scalable data pipelines and systems to support analytics, business intelligence, and reporting across the organization

Integrating data from various sources (databases, APIs, and cloud platforms) into data models optimized for visualization in Tableau and other BI tools

Developing and maintaining dashboards, reports, and data visualizations using Tableau, Power BI, Looker, Qlik, and similar tools to provide actionable insights

Collaborating with stakeholders to gather requirements and deliver tailored solutions that meet business needs

Ensuring

data integrity, security, and accuracy across all data systems and reporting platforms

Optimizing existing data pipelines and troubleshoot data issues for performance, scalability, and accuracy

Participating in code reviews and ensure best practices for data engineering and visualization

Documenting data workflows, architecture, and processes for internal and external use


Job requirements


What You'll Bring


Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field

Proven experience as a Data Engineer with expertise in data modeling, ETL processes, and database management

Proficiency in Tableau for data visualization, along with experience in other BI tools such as Power BI, Looker, Qlik, or similar platforms is a plus

Strong experience with SQL and data warehouses (e.g., Snowflake, Redshift, BigQuery), and familiarity with cloud platforms (e.g., AWS, Azure, GCP)

Experience building data pipelines with ClickHouse

Experience with scripting languages such as Python for data transformation and automation

Familiarity with modern data tools (e.g., Apache Spark, Airflow, dbt) and workflow orchestration for automated data pipelines

Understanding of data governance, data quality, and data security best practices

Strong analytical, problem-solving, and communication skills with the ability to work independently or in a team.

Ability to understand the requirements and write Functional Specification Documents, Design Documents, and Mapping Specifications.

Advanced working knowledge and experience with relational and non-relational databases

Experience with Tableau Server dashboard deployment and management

Knowledge of data architecture, including OLAP/OLTP systems, data lakes, and data mesh

Experience in building self-service BI tools for non-technical users and supporting business teams in data exploration

Familiarity with machine learning and AI integration into data pipelines

Experience with agile methodologies and DevOps practices for data engineering and BI tool management

Experience with data warehouse migration to ClickHouse is a bonus


As a Unifone you will receive a range of benefits:


Competitive salary and bonus.

Unifonic share scheme (we are all owners!).

30 holiday days after the first anniversary.

Your Birthday off!

Spend up to 25 days per year working from anywhere in the world!

Paid leave for new parents.

LinkedIn learning license.للتقديم الان

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