10-19

Future Memories - en digital studio där strategisk design och teknik formar morgondagens digitala tjänster

Future Memories

Data & AI Engineer

Göteborg

AI/ML

Python developer

Python

Tensorflow

Spark

Snowflake

PyTorch

Kafka

BigQuery

Airflow

Machine Learning

50-99

Att jobba på Äventyret är en blandning av att vara konsult, jobba på startup, byrå och vara uppfinnare.

Äventyret Sweden AB

Anställd som konsult att agera som specialist i AI relaterade projekt för våra kunder. Kan vara dels som del i vårt leveransteam mot kund inhouse såväl som resurskonsultuppdrag under kunds ledning.

Data & Analytics

Stockholm

Data engineering

Data science

Azure Synapse

Azure

Konsulter

Code Labs AB

We are seeking a skilled Data Engineer with a strong foundation in AI/ML and at least 3 years of professional experience.The ideal candidate will have proven expertise in designing, building, and maintaining scalable data pipelines, with a keen ability to integrate complex datasets for advanced analytics and machine learning applications. Proficiency in programming languages such as Python or Scala, along with experience in big data technologies like Hadoop, Spark, or Kafka, is essential.The role demands a deep understanding of machine learning algorithms and their implementation to drive insights from large-scale data.The successful candidate will be a critical thinker, capable of working collaboratively in a fast-paced environment to support data-driven decision-making processes.You will get the opportunity to work with exiting customers and solve interesting problems.

Data engineer

Hadoop

Vi arbetar för att ge individer och organisationer en edge genom att framgångsrikt kombinera affär, analys och data.

Data Edge AB

Mangementkonsult analytics

Business transformation

Deep Learning

Business Intelligence

Computer Vision

Analytics

Helping Sweden's businesses with product led growth via insights by data. Making it simple, instantaneous & actionable.

Build Measure Learn Sweden AB

What

We have taken a decision to be data- and insights-driven. For this we need an Enterprise Data Management platform, with focus on enterprise data (not product development data), that will help us:

Support the decision-making process through business intelligence and predictions via advanced analytics

Connect the entire enterprise data eco-system to optimize availability, utilization and data terminology

Make our business processes more efficient via operational automation

Why

Our current business processes are manual, time-consuming and error-prone. We also lack master sources for some critical data which needs to be bought or built. Our main business use cases are financial analysis and planning, People & resource analysis and planning (HCM), Customer & Sales analysis and planning (CRM) etc.

How

We will design and build an Azure Enterprise Data Management platform, that supports both operational and analytical use cases, such as business process automation, analysis and planning/predictions

The platform will contain capabilities such as Data Integration management, Data Quality management, Data Governance (data catalogue), BI & EDW, Advanced analytics, API publishing etc. where capabilities will be built/bought based on priority

 

SKILLS

5+ years of experience as a Data Engineer/Senior

Good working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases

A successful history of manipulating, processing and extracting value from (large) datasets

Experience building and optimizing data pipelines, architectures and data sets

Experience in securing data quality at ingestion, rest and transit

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

Strong analytic skills related to working with unstructured datasets

Experience with dimensional modeling (facts/dimensions/measures/SCD)

Good understanding of the CI/CD processes and best practices of the software delivery

Experience supporting and working with cross-functional teams

Nice to have – experience in Finance/Marketing/Customer/HR domains

 

Must:

Azure cloud

SQL databases

Azure ADLS

Talend data fabric - Data integration

Spark

Orchestration tools

Python/Scala

 

Nice to have:

NoSQL databases

Graph databases

DBT

DataBricks

 

Responsibilities

Design, creating and modifying pipelines with alignment to the business team needs

Onboarding of the new data sources – profiling and quality assure

Issues troubleshooting of the pipelines 

Taking ownership and implementing of the schema evolution of the databases

Implementing data consumption capabilities

Collaborating with ProductQADevOpsInfraSecurityAnalytics teams

Data Engineer

Data Warehousing

Scala

Data Modeling

Senior Data Engineer

Data Analysis

Power BI

Data Mining

PostgreSQL

20-49

We build energy software & platforms

helicon technologies AB

Senior Backend Engineer

Backend

Keras

Kubernetes

Docker

Energy

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