DBT – Who Needs Engineers
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Software Engineering RecruitmentFri, 25 Oct 2024 04:30:02 +0000en-US
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1 https://wordpress.org/?v=6.6.2/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.pngDBT – Who Needs Engineers
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3232Senior Data Engineer
/jobs/data-sciene-and-analytics/senior-data-engineer-8/
Fri, 25 Oct 2024 04:30:02 +0000/wne_live/jobs/jobs-categories/senior-data-engineer-8/Senior Data Engineer
Job Description:
We are looking for a skilled and experienced Senior Data Engineer to become an integral part of our vibrant team. The successful candidate will excel in creating and maintaining a robust data infrastructure, crafting effective data models, and visualizing critical insights that guide strategic decisions. In this role, you will be pivotal in optimizing our data pipelines to ensure reliability, while also enhancing our data visualization capabilities to support our business initiatives.
IT Languages:
SQL
Python
As a Senior Data Engineer, you will undertake various responsibilities that are crucial for the success of our data initiatives.:
Design, develop, and maintain scalable data infrastructure utilizing Snowflake, Airflow, Fivetran, and DBT to facilitate efficient data pipelines.;; Utilize SQL and Python for data manipulation, analysis, and automation tasks.;; Collaborate with stakeholders to create data marts and resolve issues related to data accuracy, completeness, and integrity.;; Develop and execute tests to ensure reliable data ingestion and processing, especially with DBT data models.;; Implement site reliability engineering practices and monitor ETL pipelines using tools like New Relic to ensure system stability.;; Work with cross-functional teams to gather requirements, identify opportunities, and deliver data solutions that yield business value.
Spoken Languages:
English
Skillset:
Snowflake
Airflow
Fivetran
DBT
Data modeling
Git version control
Continuous integration/deployment
Cloud technologies
AWS
Soft Skills:
Excellent communication skills
Collaborative mindset
Strong problem-solving abilities
Ability to troubleshoot complex issues
Qualifications:
Bachelor’s Degree in a related field
Minimum five years of experience in data engineering, preferably in the fintech sector
Years of Experience:
5
Location:
Chicago, IL, United States
Job Benefits:
Competitive salary
Health and wellness benefits
Professional development opportunities
Flexible work arrangements
Collaborative work environment
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
Our company thrives on innovation and teamwork. We are dedicated to creating an environment that fosters professional growth, encourages collaboration, and supports individuals in their mission to improve financial health. Here, your contributions will directly impact our customers' lives.
Opportunities For Advancement:
Career growth and development programs, Mentorship opportunities, Leadership training
Visa Sponsorship:
Not Available
]]>Data Engineer
/jobs/data-sciene-and-analytics/data-engineer-28/
Tue, 22 Oct 2024 16:30:01 +0000/wne_live/jobs/jobs-categories/data-engineer-28/Data Engineer
Job Description:
We are seeking a Data Engineer who possesses a unique blend of technical expertise and strong interpersonal skills. This role is pivotal in managing the complete data lifecycle, starting from gathering requirements to deploying robust data solutions. The ideal candidate will have a deep understanding of data engineering principles and methodologies, as well as the ability to effectively communicate with both technical teams and business stakeholders to ensure that the data solutions align with organizational goals. You will be responsible for designing and implementing scalable data architectures, ensuring data quality, and optimizing data processing workflows. Your proficiency in various programming languages and data management tools will be crucial in transforming raw data into actionable insights, thereby driving data-driven decision-making within the company.
IT Languages:
SQL
Python
Java
Scala
As a Data Engineer, you will take on various responsibilities that are critical to the success of our data initiatives.:
Design and develop data models to support analytical needs;; Implement and maintain data pipelines for extracting, transforming, and loading data;; Collaborate with data scientists and analysts to understand data requirements;; Optimize data storage and management strategies for large datasets;; Monitor and troubleshoot data-related issues to ensure smooth operations
Spoken Languages:
English;; French
Skillset:
AWS
Hadoop
Spark
Kafka
SQL-based transformation frameworks
Apache NiFi
dbt
AWS Glue
Soft Skills:
Excellent communication skills
Strong team collaboration
Problem-solving abilities
Analytical thinking
Qualifications:
Bachelor’s degree in Computer Science, Engineering, or a related field
Strong background in data engineering or similar roles
Proven experience with cloud services, particularly AWS
Familiarity with Agile methodologies and software development lifecycle
Years of Experience:
4
Location:
United States
Job Benefits:
100% paid employee medical and dental benefits
Paid time off
Paid holidays
401(k) with immediately vested company match
Working Conditions:
Remote
Employment Type:
Contract
Company Culture:
We foster a collaborative environment that values innovation and encourages professional growth. Our team is committed to excellence and believes in leveraging technology to solve complex challenges. We prioritize open communication and support diversity and inclusion within our workplace.
Opportunities For Advancement:
Potential for contract renewal, Possibility of transitioning to permanent roles, Opportunities for skill development and training
Visa Sponsorship:
Not Available
]]>Data Engineer
/jobs/data-sciene-and-analytics/data-engineer-23/
Thu, 03 Oct 2024 00:45:03 +0000/wne_live/jobs/jobs-categories/data-engineer-23/Data Engineer
Job Description:
Join our innovative team as a Data Engineer, where you will be at the forefront of transforming advertising data into meaningful insights. You will be responsible for designing and building efficient data pipelines that ensure our marketing services have access to reliable advertising data. Your expertise will help us transition to a modern architecture, using tools like Github Actions and dbt. You will collaborate closely with a diverse group of Data Engineers and Analysts, contributing to the development and maintenance of our data warehouse solutions. This role is essential in supporting our mission to provide timely and accurate data insights across various teams within the organization.
IT Languages:
SQL
Python
Key Responsibilities of the Data Engineer:
Design and develop robust data pipelines from advertising systems to the data warehouse.;; Model data for optimal storage and efficient query performance.;; Ensure seamless data extraction using Python and SQL.;; Collaborate with teams across Schibsted companies in Norway and Sweden to provide timely and accurate data insights.;; Support stakeholders in defining data requirements for advertising performance.;; Implement Continuous Integration/Continuous Deployment (CI/CD) practices and optimize cloud infrastructure.
Spoken Languages:
English;; Swedish
Skillset:
DBT
Airflow
Github Actions
AWS
Azure
GCP
Soft Skills:
Team player
Strong communication skills
Problem-solving mindset
Adaptability
Qualifications:
Proficient in SQL
Strong knowledge of Python for data extraction
Experience with data modeling
Familiarity with CI/CD practices
Understanding of cloud platforms
Years of Experience:
5
Location:
Sweden
Job Benefits:
Flexible hybrid work policy
Opportunity to work on impactful projects
Collaborative team environment
Professional development opportunities
Working Conditions:
Hybrid
Employment Type:
Permanent Contract
Company Culture:
We foster a diverse and inclusive environment where collaboration is key. Our team is dedicated to leveraging data to empower journalism and enhance advertising performance, making a real difference in society. We encourage innovation and continuous learning.
Opportunities For Advancement:
Career growth within the company, Training and development programs, Networking opportunities across the Nordics
As a Data Analyst, you will play a crucial role in enhancing the operational effectiveness of both ReliaQuest and its customers by leveraging data-driven insights. You will engage in the development of innovative systems and analytical methodologies that illuminate cybersecurity practices, threat visibility, and overall business performance. Your contributions will be instrumental in a dynamic and collaborative environment that prioritizes cutting-edge solutions over routine processes. You will gain proficiency in industry-leading tools such as Snowflake, Power BI, dbt, GitLab, Python, and SQL, applying these technologies to create compelling data stories and impactful visualizations. Your work will directly support data-informed decision-making processes, driving growth and continuous improvement initiatives within the organization and for our clients.
IT Languages:
Python
SQL
R
Your daily responsibilities will encompass a variety of analytical tasks aimed at improving data visibility and generating actionable insights.:
Develop data analyses that provide clarity and insights into operations.;; Contribute to innovative projects with both qualitative and quantitative analyses.;; Become an expert on ReliaQuest operations to measure effectiveness.;; Deliver relevant data-driven reports to various stakeholders including customers and executives.;; Design visually appealing publications that effectively communicate key information.;; Create systems and tools for enhanced data management and visualization.;; Identify growth opportunities and foster continuous improvement processes.;; Stay informed on industry trends and advancements in analytics to enhance capabilities.
Spoken Languages:
English
Skillset:
Snowflake
Power BI
dbt
GitLab
SQL
Data Visualization
Soft Skills:
Strong attention to detail
Excellent communication skills
Positive attitude and energy
Ability to work collaboratively
Qualifications:
Bachelor’s degree in a related field such as Management Information Systems, Business Analytics, Statistics, or Computer Science.
Experience with data analysis tools and programming languages.
Years of Experience:
5
Location:
Salt Lake City, UT, United States
Job Benefits:
Competitive salary
Opportunities for professional development
Health and wellness programs
Flexible working hours
Collaborative work environment
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
ReliaQuest fosters a culture of innovation and collaboration, encouraging team members to think creatively and push the boundaries of traditional practices. The work environment is dynamic, with a strong emphasis on continuous learning and professional growth.
Opportunities For Advancement:
Career development programs, Mentorship opportunities, Access to industry conferences and workshops
Visa Sponsorship:
Available
]]>Senior Data Analyst – Commercial
/jobs/data-sciene-and-analytics/senior-data-analyst-commercial/
Wed, 25 Sep 2024 13:40:02 +0000/wne_live/jobs/jobs-categories/senior-data-analyst-commercial/Senior Data Analyst – Commercial
Job Description:
Join us as a Senior Data Analyst specializing in the commercial sector, where you will play a pivotal role in converting complex data into actionable insights that drive our commercial strategy. You will be responsible for developing and refining business logic for essential metrics and dimensions, ensuring they are seamlessly integrated into our data layer. This position requires not only technical expertise but also the ability to communicate effectively with stakeholders, guiding them through data-driven solutions that address their business challenges. Your analytical skills will be vital as you create dashboards, reports, and automated tools, conducting in-depth analyses of products, pricing strategies, inventory levels, and supplier relationships to enhance overall performance. By exploring raw data and optimizing data pipelines, you will ensure the highest data quality, all while staying abreast of industry trends and best practices to recommend innovative tools and methodologies for data analysis and reporting.
IT Languages:
SQL
BigQuery
As a Senior Data Analyst, you will take on the following key responsibilities::
Develop and enhance business logic for critical commercial metrics and dimensions.;; Create comprehensive dashboards, reports, and automated tools for data visualization and analysis.;; Conduct ad-hoc analyses to derive actionable insights on products, pricing, inventory, and suppliers.;; Lead collaboration with stakeholders, translating business problems into data-driven solutions.;; Explore raw data and the Data Warehouse to enhance data visibility and optimize ETL processes.;; Stay updated with industry trends and best practices, recommending new tools and methods.
Spoken Languages:
English;; German
Skillset:
SQL
Looker
Looker Studio
Excel
Google Sheets
DBT
Version control
Soft Skills:
Analytical thinking
Problem-solving
Effective communication
Collaboration
Qualifications:
Master’s degree in Data Science, Statistics, Economics, Business, Computer Science, Industrial Engineering or a related field
Years of Experience:
5
Location:
Berlin, Germany
Job Benefits:
Flexible work schedule with hybrid work options
30 days of vacation
Remote work opportunities
Subsidized transportation
Health and wellbeing programs
Regular feedback and training opportunities
Supportive company culture
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We foster a culture of transparency, respect, courage, and passion. Our work environment promotes cooperation and collective success, encouraging team spirit through various company events and initiatives.
Opportunities For Advancement:
Regular training sessions, Personal development plans, Career growth opportunities
As a Data Analytics Engineer on the Business Intelligence team, you will be instrumental in developing and optimizing our clients' analytical data infrastructure. This vital framework supports informed decision-making across various organizational levels. It powers a range of initiatives from traditional business intelligence to advanced data science projects and serves as a critical integration point for technology teams to enhance their products and services. Your role will require a blend of analytical skills and engineering capabilities, allowing you to bridge the gap between data analysis and engineering effectively. With the emergence of modern SaaS tools addressing many data ingestion challenges, your focus will shift towards creating SQL-based data models that generate actionable insights tailored to diverse business needs. You will have the opportunity to engage in innovative projects, experiment with new methodologies, and present your findings to both internal stakeholders and external partners.
IT Languages:
SQL
Python
Go
The role encompasses several key responsibilities aimed at supporting data-driven decision-making within the organization.:
Design and build data models that align with business processes, ensuring data governance and reliability.;; Automate data transformations utilizing SQL and DBT, and employ Python for advanced customization.;; Support various analytical projects aimed at exploring hypotheses or addressing specific challenges presented by stakeholders.;; Remain updated with current trends in data processing, and be open to testing and implementing innovative methodologies.;; Effectively communicate your insights and findings to both internal teams and external audiences.
Spoken Languages:
English;; Swedish
Skillset:
SQL
Data modeling
DBT
Data visualization
Cloud technologies
Soft Skills:
Effective communication
Analytical thinking
Problem-solving
Collaboration
Qualifications:
Bachelor’s degree in Mathematics, Computer Science, Physics, or a related analytical field
Previous experience in a Data Analyst, Data Engineer, or Data Scientist role
Years of Experience:
3
Location:
Stockholm, Stockholm County, Sweden, EU
Job Benefits:
Flexible working hours
Professional development opportunities
Health and wellness programs
Team-building activities
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
The company promotes a collaborative and innovative work environment where team members are encouraged to share ideas and contribute to projects actively. There is a strong emphasis on professional growth and development, ensuring that employees have the resources and support needed to advance their careers.
Opportunities For Advancement:
Career advancement into senior analytics roles, Opportunities to lead projects, Potential to specialize in advanced data science areas
Are you ready to take on the challenge of shaping the future of data engineering? We are looking for a passionate Data Engineer to join our dynamic team, where you will have the opportunity to design and develop advanced data models for artificial intelligence and machine learning applications, as well as data warehouse solutions. In this role, you will work with cutting-edge technologies, including Databricks and Microsoft Azure, to drive innovation and deliver value to our clients. Your efforts will contribute to creating scalable and robust analytical models that empower organizations to make data-driven decisions. If you are excited about collaborating with clients to identify new business opportunities and are eager to stay at the forefront of data engineering technology, this is the perfect opportunity for you.
IT Languages:
SQL
Python
R
As a Data Engineer, you will take on a variety of responsibilities that are crucial to our data initiatives.:
Develop and maintain scalable analytical models that meet business requirements.;; Design and implement data platforms, including building data models and pipelines.;; Collaborate with clients to innovate and identify new business opportunities.;; Champion best practices for data architecture, quality, reliability, and performance.;; Stay updated with the latest advances in data engineering technology.;; Utilize Microsoft Azure services for data processing, transformation, and storage.
Spoken Languages:
English;; Swedish
Skillset:
Databricks
Azure Data Factory
DBT
Snowflake
Data Lakes
Lakehouse Architecture
Soft Skills:
Teamwork
Problem-solving
Communication
Adaptability
Creativity
Qualifications:
Hands-on experience with cloud solutions such as Azure, AWS or GCP
Familiarity with ETL tools like Azure Data Factory, Databricks, DBT, Snowflake
Experience with Data Lakes or Lakehouse Architecture
Strong knowledge of SQL syntax
Understanding of information and dimensional modeling
Knowledge of DevOps processes, including git version control and CI/CD methodologies
Fluency in English and Swedish
Years of Experience:
5
Location:
Stockholm, Stockholm County, Sweden, EU
Job Benefits:
Flexible work environment including part-time remote options
Professional growth and development opportunities
Access to cutting-edge technology training
Collaborative team atmosphere
Health and wellness programs
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We foster a culture of innovation and entrepreneurship, encouraging collaboration and teamwork. Our environment is designed to empower employees to excel and grow in their careers. We believe in investing in our people and creating a vibrant community spirit.
Opportunities For Advancement:
Professional training and certifications, Career progression within the company, Mentorship programs
Are you passionate about leveraging data and analytics to drive impactful changes? Would you find it exciting to contribute to the largest digital news destination in Sweden? If so, this opportunity is tailored for you! We are currently seeking a Data Analyst to join our dynamic team at Aftonbladet. As a part of the data and analytics team under Subscription Sweden within Schibsted Media, which also encompasses brands like Omni, Svenska Dagbladet, Wellobe, and Podme, you will be instrumental in creating optimal conditions for growth. You will collaborate closely with various departments including editorial teams, commercial leaders, and central Schibsted teams, focusing on generating actionable insights that enhance journalism and the business segments at Aftonbladet. Your role will involve connecting data points and presenting recommendations to stakeholders, supporting the ongoing development of innovative audio and video formats for journalism. You will be at the forefront of testing, evaluating, and optimizing these formats for our millions of daily visitors, ensuring that your analytical contributions have a tangible impact. We encourage you to influence your role by focusing on areas you are particularly passionate about, making this position a unique opportunity for personal and professional growth.
IT Languages:
SQL
Python
R
As a Data Analyst, your primary responsibilities will include analyzing complex datasets, generating insights, and collaborating with cross-functional teams to enhance our journalistic content and business operations.:
Break down problems and structure analytical questions to guide investigations;; Visualize data and present insights clearly to diverse audiences;; Drive independent initiatives to explore data-driven opportunities;; Work closely with editorial and commercial teams to align data strategies with business goals;; Evaluate and optimize new audio and video formats for enhanced audience engagement
Spoken Languages:
Swedish;; English
Skillset:
SQL
Python
R
Tableau
Amplitude
AWS
Snowflake
Airflow
dbt
Soft Skills:
Curiosity
Drive
Communication
Adaptability
Team collaboration
Qualifications:
Relevant educational background in data analysis or a related field
Strong understanding of SQL
Experience with programming languages like Python and R
Familiarity with visualization tools such as Tableau and Amplitude
Knowledge of platforms like AWS, Snowflake, Airflow, and dbt
Years of Experience:
3
Location:
Stockholm, Stockholm County, Sweden, EU
Job Benefits:
Comprehensive benefits package
Career advancement opportunities
Hybrid work environment
Supportive team culture
Access to cutting-edge technologies
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
A fast-paced, innovative environment that encourages experimentation and values collaboration. The team operates with an open mindset, fostering a supportive atmosphere where ideas are freely exchanged and challenges are tackled collectively. Colleagues are highly skilled and supportive, creating a comfortable and stimulating work environment.
Opportunities For Advancement:
Potential to lead projects, Opportunities for skill development, Possibility to work on diverse brands within Schibsted
Visa Sponsorship:
Available
]]>Senior Data Analyst (Business Intelligence)
/jobs/data-sciene-and-analytics/senior-data-analyst-business-intelligence/
Mon, 16 Sep 2024 02:30:03 +0000/wne_live/jobs/jobs-categories/senior-data-analyst-business-intelligence/Senior Data Analyst (Business Intelligence)
Job Description:
Acast is on a mission to revolutionize the podcast advertising landscape, and we are looking for an experienced Senior Data Analyst to join our innovative team. In this role, you will be integral to the development of our advertising marketplace, working with a diverse range of data to enhance our understanding of listener behaviors and preferences. You will collaborate with cross-functional teams to improve our data management processes, ensuring we can handle millions of daily podcast interactions efficiently. Your expertise will help us build robust systems that support the growth and stability of our operations while driving forward-thinking initiatives that shape the future of podcast advertising. If you’re passionate about data analysis and want to be part of a global team that values innovation, autonomy, and continuous improvement, we want to hear from you.
IT Languages:
SQL
DBT
Qlik
Looker
As a Senior Data Analyst, you will be responsible for a variety of tasks that are critical to our data-driven decision-making processes. You will analyze large datasets to derive actionable insights and provide recommendations based on your findings. Your role will involve collaborating with teams to design and implement data models that enhance our understanding of user engagement and advertising effectiveness. You will also drive initiatives that improve our data handling capabilities, ensuring that our systems are scalable and efficient, suitable for our growing user base.:
Analyze and interpret complex datasets to inform business strategies;; Collaborate with cross-functional teams to enhance data handling processes;; Design and implement data models and ETL processes;; Create visualizations and reports to communicate insights effectively;; Drive initiatives to improve system stability and scalability
Spoken Languages:
English;; Swedish;; German
Skillset:
SQL
DBT
Qlik
Looker
Data modeling
ETL processes
Soft Skills:
Strong communication skills
Ability to work collaboratively in a team
Problem-solving mindset
Adaptability and flexibility
Qualifications:
Proven experience as a Data Analyst
Strong knowledge of SQL and data visualization tools
Experience with DBT, Qlik, and Looker
Familiarity with data modeling and ETL processes
Ability to work independently and take initiative
Years of Experience:
5
Location:
Stockholm, Stockholm County, Sweden, EU
Job Benefits:
Flexible working hours
Remote working options
Career development opportunities
Health and wellness programs
Inclusive and diverse work environment
Working Conditions:
Remote
Employment Type:
Permanent Contract
Company Culture:
We prioritize a culture of inclusivity, autonomy, and continuous improvement, ensuring that every team member feels valued and empowered. Our global team collaborates in an open environment where diverse perspectives are celebrated, and innovation is fostered. We are committed to creating a nurturing and fulfilling workplace that brings out the best in everyone.
Opportunities For Advancement:
Professional development programs, Mentorship opportunities, Leadership training