Senior Data Engineering Consultant Jobs

New

Senior Director - Data Engineering & Machine Learning

Lead the Data Revolution at Modus Create. At Modus Create, we empower the world’...

Location

Canada

Salary:

Not provided

Modus Create

Expiration Date

Until further notice

Requirements

15+ years in data or software engineering roles
7+ years leading Data Engineering/ML teams—ideally at scale or in global consulting contexts
Hands-on experience with cloud data platforms, big data toolchains (Spark, Kafka), data transformation tools (Airflow, dbt), and ML platforms
Success in pre-sales, solutioning, and growing data/ML engagements within enterprise or mid-market accounts
Demonstrated ability to create enablement programs, uplift team capabilities, and grow inclusive, high-performing engineering cultures
Deep empathy for client pain points and the ability to craft and deliver impactful, measurable solutions
Excellent across technical, executive, and cross-functional settings, with an ability to successfully navigate diverse cultural differences

Job Responsibility

Build Modern Data Platforms
Design and oversee architecture for cloud-native data platforms, pipelines, and streaming systems on AWS, Azure, or GCP
Ensure robust solutions using platforms such as Databricks, Snowflake, Redshift, BigQuery, Spark, Kafka, Airflow, dbt, and Kubernetes
Deliver Products that are Intelligent
Define and drive responsible ML strategy, from model development to integration, using platforms like SageMaker, Azure ML, or TensorFlow
Enable smarter client experiences by embedding ML into applications, automation, and analytics
Lead & Grow Teams
Foster a culture of trust, continuous learning, and experimentation by hiring, mentoring, and empowering distributed teams of data and ML engineers
Define career paths, feedback frameworks, and learning programs grounded in a culture of experimentation,continuous growth, and a sense of belonging at every level
Shape Technical Strategy & Best Practices

What we offer

Remote work with flexible working hours
Modus Global Office Programme:for when you want to get out of your home, we offer on-demand access to private offices, meeting rooms, coworking spaces and business lounges in locations in over 120 countries
Employee Referral Program
Client Referral Program
Travel according to client or team needs
The chance to work side-by-side with thought leaders in emerging tech
Access to more than 12,000 courses with a licensed Coursera account
Possibility to obtain paid certification/courses if they align with company goals and are relevant to the employee's role

Fulltime

New

Senior Azure Data Engineer

Seeking a Lead AI DevOps Engineer to oversee design and delivery of advanced AI/...

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

At least 6 years of professional experience in the Data & Analytics area
1+ years of experience (or acting as) in the Senior Consultant or above role with a strong focus on data solutions build in Azure and Databricks/Synapse/(MS Fabric is nice to have)
Proven experience in Azure cloud-based infrastructure, Databricks and one of SQL implementation (e.g., Oracle, T-SQL, MySQL, etc.)
Proficiency in programming languages such as SQL, Python, PySpark is essential (R or Scala nice to have)
Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders
Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps)
Experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support
Knowledge of data management principles and best practices, including data governance, data quality, and data integration
Good project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines
Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues

Job Responsibility

Act as a senior member of the Data Science & AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams
Develop and execute a cloud data strategy aligned with organizational goals
Lead data integration efforts, including ETL processes, to ensure seamless data flow
Implement security measures and compliance standards in cloud environments
Continuously monitor and optimize data solutions for cost-efficiency
Establish and enforce data governance and quality standards
Leverage Azure services, as well as tools like dbt and Databricks, for efficient data pipelines and analytics solutions
Work with cross-functional teams to understand requirements and provide data solutions
Maintain comprehensive documentation for data architecture and solutions
Mentor junior team members in cloud data architecture best practices

What we offer

Stable employment
“Office as an option” model
Workation
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support

New

Senior Data Consultant

Ivy Partners is a Swiss consulting firm that assists companies in their strategi...

Location

Portugal , Lisboa

Salary:

Not provided

IVY Partners

Expiration Date

Until further notice

Requirements

Between 6 to 10 years of professional experience
strong understanding and experience in data architecture within diverse domains such as finance, purchasing, etc.
deep expertise in managing large datasets
proficient in tools like BPMN 2.0 (preferably using Draw.io or LucidChart)
skilled in building and interpreting conceptual and logical data models
effectively document architecture and business processes
strong ability to perform gap analysis on existing datasets versus group standards
develop and manage a detailed remediation plan
both english and portuguese are required

Job Responsibility

Collaborate with diverse stakeholder communities, including business experts, data engineers, data scientists, and technical architects, to leverage data analytics, AI, and Master Data Management
Structure data platforms optimally for various use cases, ensuring alignment with business needs and governance standards
Develop and standardize conceptual data models, and document business processes in BPMN format to support data consumption
Identify and define critical business processes and associated data stewards or process owners
Assess existing datasets against defined data architecture standards, propose remediation plans, and manage the redesign process to ensure dataset standardization and reusability
Ensure adherence to data governance frameworks, including data risk management policies, data classification, access policies, and retention protocols
Document all relevant details in data catalogs and governance tools like Collibra

What we offer

nurturing environment where everyone is valued
training and opportunities for advancement both in Switzerland and internationally
climate of trust based on transparency, professionalism, and commitment
encouraging innovation
collective is at the heart of our actions
strive to generate a positive impact