Databricks Specialist Job at Knowit Sweden (Malmö)

AI Product Specialist – Databricks Deployment

We are looking for an interim AI Product Specialist to support clients with the ...

Location

Netherlands , Rotterdam

Salary:

Not provided

Riverflex

Expiration Date

Until further notice

Requirements

3–7 years in data product delivery, analytics engineering, applied AI, or similar roles (consulting experience is a plus)
Proven experience with Databricks in real delivery contexts (platform capabilities, deployment patterns, production considerations)
Strong understanding of data lifecycle and architecture (pipelines, lakehouse concepts, quality, governance)
Strong stakeholder management: able to align technical and business teams and keep delivery outcome-focused
Comfortable working in fast-moving environments, creating clarity and structure where it’s missing
Excellent communication skills—able to explain trade-offs, risks, and value in plain language

Job Responsibility

Deploy and operationalize AI products on Databricks, working closely with data engineers, data scientists, and platform teams
Translate business goals into deployable product requirements, including data needs, success metrics, and rollout approach
Design and optimize pipelines and environments (lakehouse patterns, compute, orchestration) to support analytics and ML workflows
Drive the path from PoC to production, including implementation planning, technical decision-making, and delivery governance
Implement data governance and quality practices (data lineage, access, quality checks, compliance considerations) to meet enterprise standards
Act as a Databricks SME: advise on architecture choices, integration patterns, performance considerations, and operational readiness
Support value realization: define KPI/ROI frameworks with stakeholders and help communicate impact and adoption progress

Fulltime

New

Data Migration Consultant

As a Data Migration Engineer at Sopra Steria, you will play a key role in helpin...

Location

Belgium , Brussels/Flanders

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

At least 3 years of experience as a Data Engineer, Database Administrator, or Data Migration Specialist
Hands-on experience with data migration, ETL workflows, and cloud-based data platforms (e.g., Azure Databricks, Data Factory, Synapse, Data Lake)
Strong proficiency in SQL and relational databases
experience with data modeling concepts (Kimball, Snowflake, SCD, Data Vault)
Programming experience in Python, PySpark, or similar languages for data transformation and automation
Analytical thinking, attention to detail, and a structured, solution-oriented approach
Fluency in English

Job Responsibility

Design, implement, and validate data migration processes that ensure data from source systems is accurately converted, cleansed, and loaded into target systems
Translate business requirements into technical data migration solutions, define transformation rules, and ensure data quality, completeness, and compliance
Work in collaborative, agile teams to help optimize migration workflows, streamline data pipelines, and implement automation and governance standards

What we offer

A competitive salary and an indefinite contract
A company car or mobility budget
Comprehensive insurance coverage (hospitalisation, outpatient care and group insurance)
32 days paid time off (20 days + 12 bonus days)
Flexible, location-independent work
Laptop, phone and mobile subscription
Continuous learning opportunities through the Sopra Steria Academy to support your career development

Fulltime

Solutions Architect

Lead the design and implementation of scalable, secure, and high-performing data...

Location

India , Bangalore

Salary:

Not provided

Arrow Electronics

Expiration Date

Until further notice

Requirements

At least 10 years of experience in enterprise data architecture, including design and implementation of large-scale data platforms
5+ years of relevant data engineering experience on Databricks
Strong expertise in Databricks (Workspace, Clusters, Jobs, Repos, Delta Live Tables)
Deep hands-on expertise with Azure Databricks, PySpark, Delta Lake, Unity catalog, MLflow, DBT, and associated Azure data services (Data Lake, SQL, Synapse, ADF)
Proven experience migrating from legacy data warehouse and reporting systems to modern cloud platforms
Experience in data modeling, data warehousing (OLTP, OLAP), security, governance, DevOps, and MLOps
Hands-on with CI/CD, version control (Git), and DevOps practices for data engineering
Excellent communication, collaboration, problem-solving and analytical skills with the ability to collaborate effectively with cross-functional teams and influence decision-making at all levels of the organization
Architect-level certifications in Databricks and DBT are preferred
Ability to mentor and coach junior architects, engineers, and BI/reporting developers

Job Responsibility

Lead the design and implementation of scalable, secure, and high-performing data solutions using Azure Databricks, Delta Lake, and Delta Live Tables
Own the complete architecture process, including requirements gathering, solution design, documentation, technical reviews and implement advanced data solutions on the Databricks platform
Define best practices for cloud data architecture, data modeling, ELT/ETL pipelines, workspace setup, cluster management, repos, and job orchestration
Coordinate and communicate with onshore and offshore teams, including end-users, data engineers, reporting specialists, and business analysts
Ensure solution compliance with data privacy, security, and governance standards
Conduct performance tuning and optimization of Databricks clusters
Ensure data quality, lineage, and observability across all pipelines
Monitor and troubleshoot data pipelines to ensure data quality and reliability
Lead the integration of Databricks with other data platforms and tools
Create processes and workflows to support data solutions documents, and lead solution reviews and audits for quality

Fulltime

Solutions Architect

At Databricks, our core principles are at the heart of everything we do; creatin...

Location

South Korea , Seoul

Salary:

Not provided

databricks

Expiration Date

Until further notice

Requirements

Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions
Develop customer relationships and build internal partnerships with account executives and teams
Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark
Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s)
Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth
Native level in Korean is required, and proficiency in English is a plus

Job Responsibility

Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives
Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform
Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups
Grow your knowledge and expertise to the level of a technical and/or industry specialist

What we offer

comprehensive benefits and perks that meet the needs of all of our employees

Solutions Engineer

At Databricks, our core principles are at the heart of everything we do; creatin...

Location

South Korea , Seoul

Salary:

Not provided

databricks

Expiration Date

Until further notice

Requirements

Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions
Develop customer relationships and build internal partnerships with account executives and teams
Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark
Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s)
Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth
Native level in Korean and Business Level proficiency in English are required

Job Responsibility

Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives
Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform
Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups
Grow your knowledge and expertise to the level of a technical and/or industry specialist

What we offer

Comprehensive benefits and perks that meet the needs of all of our employees (details at https://www.mybenefitsnow.com/databricks)

Sr. Solutions Engineer

At Databricks, our core principles are at the heart of everything we do; creatin...

Location

South Korea , Seoul

Salary:

Not provided

databricks

Expiration Date

Until further notice

Requirements

Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions
Develop customer relationships and build internal partnerships with account executives and teams
Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark
Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s)
Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth
Native level in Korean is required, and proficiency in English is a plus

Job Responsibility

Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives
Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform
Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups
Grow your knowledge and expertise to the level of a technical and/or industry specialist

Sr. Delivery Solutions Architect

At Databricks we are on a mission to empower our customers to solve the world's ...

Location

South Korea , Seoul

Salary:

Not provided

databricks

Expiration Date

Until further notice

Requirements

8+ years in a customer-facing pre-sales, technical architecture, customer success, or consulting role
Experience understanding architecture related distributed data systems, specifically within one of the following: Data Engineering technologies (e.g. Spark, Hadoop, Kafka)
Data Warehousing (e.g. SQL, OLTP/OLAP/DSS)
Data Science and Machine Learning technologies (e.g. pandas, scikit-learn, HPO)
Comfortable managing multiple projects at once, and engaging a virtual team of subject matter experts
Influencing and leading teams - especially without having direct reporting line responsibility
Executive Stakeholder management - experience in effectively engaging and influencing a variety of audiences at all levels of an organization with particular success in building and maintaing strong CxO level relationship
Executive escalation management - experience in resolving complex and critical escalation with senior customer and internal executives
Strategic Management Consulting - experience of conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
Building and steering to a value case - business value consulting and realization

Job Responsibility

Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritized customers
Own the Post-Technical Win technical account strategy and investment plan for the majority of Databricks Use Cases within our most strategic accounts
Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty/ambiguity and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
Be the first point of contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account
Leverage both Shared Services of User Education, Onboarding/Technical Services and Support resources, along with escalating to Level 400/500 technical experts to execute on the right tasks that are beyond your scope of activities or expertise
Create, own and execute a PoV as to how key use cases can be accelerated into production, bringing EM/PM in to prepare Professional Services proposals
Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs
Build and maintain an executive level as well as a detailed programme level success plan that covers all activities of Customer, PS, Partner, SSA, Product Specialist, SA
Proactively provide internal and external updates - KPI reporting on the status of consumption and customer health, covering investment status, key risks, product adoption and use case progression - to your Technical GM
Development of reusable and scalable assets and mentorship of junior team members to establish the DSA team

Support Specialist L3

Growth through diversity, equity, and inclusion. As an ethical business, we do w...

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Willing to work either ASIA, EMEA, or NALA shift
Strong problem-solving, analytical, and critical thinking skills
Strong communication skillset – ability to translate technical details to business/non-technical stakeholders
Extensive experience with SQL, T-SQL, PL/SQL Language – includes but not limited to ETL, merge, partition exchange, exception and error handling, performance tuning
Experience with Python/Pyspark mainly with Pandas, Numpy, Pathlib and PySpark SQL Functions
Experience with Azure Fundamentals, particularly Azure Blob Storage (File Systems and AzCopy)
Experience with Azure Data Services - Databricks and Data Factory
Understands the operation of ETL process, triggers and scheduler
Logging, dbutils, pyspark SQL functions, handling different files e.g. json
Experience with Git repository maintenance and DevOps concepts

Job Responsibility

Provide expert service support as L3 specialist for the service
Identify, analyze, and develop solutions for complex incidents or problems raised by stakeholders and clients as needed
Analyze issues and develop tools and/or solutions that will help enable business continuity and mitigate business impact
Proactive and timely update assigned tasks, provide response and solution within agreed team's timelines
Problem corrective action plan proposals
Deploying bug-fixes in managed applications
Gather requirements, analyze, design and implement complex visualization solutions
Participate in internal knowledge sharing, collaboration activities, and service improvement initiatives
Tasks may include monitoring, incident/problem resolution, documentations, automation, assessment and implementation/deployment of change requests
Provide technical feedback and mentoring to teammates

What we offer

Stable employment
“Office as an option” model
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
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company

Databricks Specialist

Knowit Sweden

Location:
Sweden , Malmö

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 20, 2026

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